CRAN Package Check Results for Maintainer ‘Armin Rauschenberger <a.rauschenberger at vumc.nl>’

Last updated on 2019-10-23 00:48:12 CEST.

Package ERROR NOTE OK
cornet 12
joinet 1 11
palasso 8 4

Package cornet

Current CRAN status: OK: 12

Package joinet

Current CRAN status: ERROR: 1, OK: 11

Version: 0.0.2
Check: examples
Result: ERROR
    Running examples in ‘joinet-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: coef.joinet
    > ### Title: Extract Coefficients
    > ### Aliases: coef.joinet
    >
    > ### ** Examples
    >
    > n <- 50; p <- 100; q <- 3
    > X <- matrix(rnorm(n*p),nrow=n,ncol=p)
    > Y <- replicate(n=q,expr=rnorm(n=n,mean=rowSums(X[,1:5])))
    > object <- joinet(Y=Y,X=X)
    Error in approx(lambda, seq(lambda), sfrac) :
     need at least two non-NA values to interpolate
    Calls: joinet ... NextMethod -> predict.glmnet -> lambda.interp -> approx
    Execution halted
Flavor: r-patched-solaris-x86

Version: 0.0.2
Check: tests
Result: ERROR
     Running ‘testthat.R’
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(joinet)
     >
     > testthat::test_check(package="joinet",stop_on_warning=FALSE)
     ── 1. Error: (unknown) (@test.R#24) ───────────────────────────────────────────
     need at least two non-NA values to interpolate
     1: joinet::joinet(Y = Y, X = X, family = family, alpha.base = alpha, foldid = foldid) at testthat/test.R:24
     2: glmnet::cv.glmnet(y = Y[cond, i], x = hat[cond, ], lower.limits = 0, upper.limits = Inf,
     foldid = foldid[cond], family = family[i], type.measure = type.measure, intercept = TRUE,
     alpha = alpha.meta, ...)
     3: do.call(fun, list(outlist, lambda, x, y, weights, offset, foldid, type.measure, grouped,
     keep, alignment))
     4: cv.elnet(list(structure(list(a0 = c(s0 = 0.174255577495503, s1 = 0.174255577495503,
     s2 = 0.174255577495503, s3 = 0.174255577495503, s4 = 0.174255577495503, s5 = 0.174255577495503,
     s6 = 0.174255577495503, s7 = 0.174255577495503, s8 = 0.174255577495503, s9 = 0.174255577495503,
     s10 = 0.174255577495503, s11 = 0.174255577495503, s12 = 0.174255577495503, s13 = 0.174255577495503,
     s14 = 0.174255577495503, s15 = 0.174255577495503, s16 = 0.174255577495503, s17 = 0.174255577495503,
     s18 = 0.174255577495503, s19 = 0.174255577495503, s20 = 0.174255577495503, s21 = 0.174255577495503,
     s22 = 0.174255577495503, s23 = 0.174255577495503, s24 = 0.174255577495503, s25 = 0.174255577495503,
     s26 = 0.174255577495503, s27 = 0.174255577495503, s28 = 0.174255577495503, s29 = 0.174255577495503,
     s30 = 0.174255577495503, s31 = 0.174255577495503, s32 = 0.174255577495503, s33 = 0.174255577495503,
     s34 = 0.174255577495503, s35 = 0.174255577495503, s36 = 0.174255577495503, s37 = 0.174255577495503,
     s38 = 0.174255577495503, s39 = 0.174255577495503, s40 = 0.174255577495503, s41 = 0.174255577495503,
     s42 = 0.174255577495503, s43 = 0.174255577495503, s44 = 0.174255577495503, s45 = 0.174255577495503,
     s46 = 0.174255577495503, s47 = 0.174255577495503, s48 = 0.174255577495503, s49 = 0.174255577495503,
     s50 = 0.174255577495503, s51 = 0.174255577495503, s52 = 0.174255577495503, s53 = 0.174255577495503,
     s54 = 0.174255577495503, s55 = 0.174255577495503, s56 = 0.174255577495503, s57 = 0.174255577495503,
     s58 = 0.174255577495503, s59 = 0.174255577495503, s60 = 0.174255577495503, s61 = 0.174255577495503,
     s62 = 0.174255577495503, s63 = 0.174255577495503, s64 = 0.174255577495503, s65 = 0.174255577495503,
     s66 = 0.174255577495503, s67 = 0.174255577495503, s68 = 0.174255577495503, s69 = 0.174255577495503,
     s70 = 0.174255577495503, s71 = 0.174255577495503, s72 = 0.174255577495503, s73 = 0.174255577495503,
     s74 = 0.174255577495503, s75 = 0.174255577495503, s76 = 0.174255577495503, s77 = 0.174255577495503,
     s78 = 0.174255577495503, s79 = 0.174255577495503, s80 = 0.174255577495503, s81 = 0.174255577495503,
     s82 = 0.174255577495503, s83 = 0.174255577495503, s84 = 0.174255577495503, s85 = 0.174255577495503,
     s86 = 0.174255577495503, s87 = 0.174255577495503, s88 = 0.174255577495503, s89 = 0.174255577495503,
     s90 = 0.174255577495503, s91 = 0.174255577495503, s92 = 0.174255577495503, s93 = 0.174255577495503,
     s94 = 0.174255577495503, s95 = 0.174255577495503, s96 = 0.174255577495503, s97 = 0.174255577495503,
     s98 = 0.174255577495503, s99 = 0.174255577495503), beta = new("dgCMatrix", i = c(0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L), p = 0:100, Dim = c(3L,
     100L), Dimnames = list(c("V1", "V2", "V3"), c("s0", "s1", "s2", "s3", "s4", "s5",
     "s6", "s7", "s8", "s9", "s10", "s11", "s12", "s13", "s14", "s15", "s16", "s17", "s18",
     "s19", "s20", "s21", "s22", "s23", "s24", "s25", "s26", "s27", "s28", "s29", "s30",
     "s31", "s32", "s33", "s34", "s35", "s36", "s37", "s38", "s39", "s40", "s41", "s42",
     "s43", "s44", "s45", "s46", "s47", "s48", "s49", "s50", "s51", "s52", "s53", "s54",
     "s55", "s56", "s57", "s58", "s59", "s60", "s61", "s62", "s63", "s64", "s65", "s66",
     "s67", "s68", "s69", "s70", "s71", "s72", "s73", "s74", "s75", "s76", "s77", "s78",
     "s79", "s80", "s81", "s82", "s83", "s84", "s85", "s86", "s87", "s88", "s89", "s90",
     "s91", "s92", "s93", "s94", "s95", "s96", "s97", "s98", "s99")), x = c(0, 0, 0, 0,
     0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
     0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
     0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
     0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), factors = list()), df = c(0, 0, 0,
     0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
     0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
     0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
     0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), dim = c(3L, 100L), lambda = c(NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN), dev.ratio = c(0,
     0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
     0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
     0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
     0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), nulldev = 13.2032706800619,
     npasses = 100L, jerr = 0L, offset = FALSE, call = glmnet(x = x[!which, , drop = FALSE],
     y = y_sub, family = ..3, weights = weights[!which], offset = offset_sub,
     alpha = ..5, lambda = lambda, intercept = TRUE, lower.limits = 0, upper.limits = Inf),
     nobs = 23L), class = c("elnet", "glmnet")), structure(list(a0 = c(s0 = 0.146293402498544,
     s1 = 0.146293402498544, s2 = 0.146293402498544, s3 = 0.146293402498544, s4 = 0.146293402498544,
     s5 = 0.146293402498544, s6 = 0.146293402498544, s7 = 0.146293402498544, s8 = 0.146293402498544,
     s9 = 0.146293402498544, s10 = 0.146293402498544, s11 = 0.146293402498544, s12 = 0.146293402498544,
     s13 = 0.146293402498544, s14 = 0.146293402498544, s15 = 0.146293402498544, s16 = 0.146293402498544,
     s17 = 0.146293402498544, s18 = 0.146293402498544, s19 = 0.146293402498544, s20 = 0.146293402498544,
     s21 = 0.146293402498544, s22 = 0.146293402498544, s23 = 0.146293402498544, s24 = 0.146293402498544,
     s25 = 0.146293402498544, s26 = 0.146293402498544, s27 = 0.146293402498544, s28 = 0.146293402498544,
     s29 = 0.146293402498544, s30 = 0.146293402498544, s31 = 0.146293402498544, s32 = 0.146293402498544,
     s33 = 0.146293402498544, s34 = 0.146293402498544, s35 = 0.146293402498544, s36 = 0.146293402498544,
     s37 = 0.146293402498544, s38 = 0.146293402498544, s39 = 0.146293402498544, s40 = 0.146293402498544,
     s41 = 0.146293402498544, s42 = 0.146293402498544, s43 = 0.146293402498544, s44 = 0.146293402498544,
     s45 = 0.146293402498544, s46 = 0.146293402498544, s47 = 0.146293402498544, s48 = 0.146293402498544,
     s49 = 0.146293402498544, s50 = 0.146293402498544, s51 = 0.146293402498544, s52 = 0.146293402498544,
     s53 = 0.146293402498544, s54 = 0.146293402498544, s55 = 0.146293402498544, s56 = 0.146293402498544,
     s57 = 0.146293402498544, s58 = 0.146293402498544, s59 = 0.146293402498544, s60 = 0.146293402498544,
     s61 = 0.146293402498544, s62 = 0.146293402498544, s63 = 0.146293402498544, s64 = 0.146293402498544,
     s65 = 0.146293402498544, s66 = 0.146293402498544, s67 = 0.146293402498544, s68 = 0.146293402498544,
     s69 = 0.146293402498544, s70 = 0.146293402498544, s71 = 0.146293402498544, s72 = 0.146293402498544,
     s73 = 0.146293402498544, s74 = 0.146293402498544, s75 = 0.146293402498544, s76 = 0.146293402498544,
     s77 = 0.146293402498544, s78 = 0.146293402498544, s79 = 0.146293402498544, s80 = 0.146293402498544,
     s81 = 0.146293402498544, s82 = 0.146293402498544, s83 = 0.146293402498544, s84 = 0.146293402498544,
     s85 = 0.146293402498544, s86 = 0.146293402498544, s87 = 0.146293402498544, s88 = 0.146293402498544,
     s89 = 0.146293402498544, s90 = 0.146293402498544, s91 = 0.146293402498544, s92 = 0.146293402498544,
     s93 = 0.146293402498544, s94 = 0.146293402498544, s95 = 0.146293402498544, s96 = 0.146293402498544,
     s97 = 0.146293402498544, s98 = 0.146293402498544, s99 = 0.146293402498544), beta = new("dgCMatrix",
     i = 1:2, p = c(0L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L), Dim = c(3L, 100L), Dimnames = list(c("V1", "V2", "V3"),
     c("s0", "s1", "s2", "s3", "s4", "s5", "s6", "s7", "s8", "s9", "s10", "s11",
     "s12", "s13", "s14", "s15", "s16", "s17", "s18", "s19", "s20", "s21", "s22",
     "s23", "s24", "s25", "s26", "s27", "s28", "s29", "s30", "s31", "s32", "s33",
     "s34", "s35", "s36", "s37", "s38", "s39", "s40", "s41", "s42", "s43", "s44",
     "s45", "s46", "s47", "s48", "s49", "s50", "s51", "s52", "s53", "s54", "s55",
     "s56", "s57", "s58", "s59", "s60", "s61", "s62", "s63", "s64", "s65", "s66",
     "s67", "s68", "s69", "s70", "s71", "s72", "s73", "s74", "s75", "s76", "s77",
     "s78", "s79", "s80", "s81", "s82", "s83", "s84", "s85", "s86", "s87", "s88",
     "s89", "s90", "s91", "s92", "s93", "s94", "s95", "s96", "s97", "s98", "s99"
     )), x = c(1.36394096827666e-37, 8.39660216613587e-36), factors = list()),
     df = c(2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L), dim = c(3L, 100L), lambda = c(NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN), dev.ratio = c(1.75348624349397e-37,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54,
     4.73084573929893e-54, 4.73084573929893e-54, 4.73084573929893e-54), nulldev = 18.365075588232,
     npasses = 100L, jerr = 0L, offset = FALSE, call = glmnet(x = x[!which, , drop = FALSE],
     y = y_sub, family = ..3, weights = weights[!which], offset = offset_sub,
     alpha = ..5, lambda = lambda, intercept = TRUE, lower.limits = 0, upper.limits = Inf),
     nobs = 23L), class = c("elnet", "glmnet")), structure(list(a0 = c(s0 = -0.0135048336716479,
     s1 = -0.0135048336716479, s2 = -0.0135048336716479, s3 = -0.0135048336716479, s4 = -0.0135048336716479,
     s5 = -0.0135048336716479, s6 = -0.0135048336716479, s7 = -0.0135048336716479, s8 = -0.0135048336716479,
     s9 = -0.0135048336716479, s10 = -0.0135048336716479, s11 = -0.0135048336716479, s12 = -0.0135048336716479,
     s13 = -0.0135048336716479, s14 = -0.0135048336716479, s15 = -0.0135048336716479,
     s16 = -0.0135048336716479, s17 = -0.0135048336716479, s18 = -0.0135048336716479,
     s19 = -0.0135048336716479, s20 = -0.0135048336716479, s21 = -0.0135048336716479,
     s22 = -0.0135048336716479, s23 = -0.0135048336716479, s24 = -0.0135048336716479,
     s25 = -0.0135048336716479, s26 = -0.0135048336716479, s27 = -0.0135048336716479,
     s28 = -0.0135048336716479, s29 = -0.0135048336716479, s30 = -0.0135048336716479,
     s31 = -0.0135048336716479, s32 = -0.0135048336716479, s33 = -0.0135048336716479,
     s34 = -0.0135048336716479, s35 = -0.0135048336716479, s36 = -0.0135048336716479,
     s37 = -0.0135048336716479, s38 = -0.0135048336716479, s39 = -0.0135048336716479,
     s40 = -0.0135048336716479, s41 = -0.0135048336716479, s42 = -0.0135048336716479,
     s43 = -0.0135048336716479, s44 = -0.0135048336716479, s45 = -0.0135048336716479,
     s46 = -0.0135048336716479, s47 = -0.0135048336716479, s48 = -0.0135048336716479,
     s49 = -0.0135048336716479, s50 = -0.0135048336716479, s51 = -0.0135048336716479,
     s52 = -0.0135048336716479, s53 = -0.0135048336716479, s54 = -0.0135048336716479,
     s55 = -0.0135048336716479, s56 = -0.0135048336716479, s57 = -0.0135048336716479,
     s58 = -0.0135048336716479, s59 = -0.0135048336716479, s60 = -0.0135048336716479,
     s61 = -0.0135048336716479, s62 = -0.0135048336716479, s63 = -0.0135048336716479,
     s64 = -0.0135048336716479, s65 = -0.0135048336716479, s66 = -0.0135048336716479,
     s67 = -0.0135048336716479, s68 = -0.0135048336716479, s69 = -0.0135048336716479,
     s70 = -0.0135048336716479, s71 = -0.0135048336716479, s72 = -0.0135048336716479,
     s73 = -0.0135048336716479, s74 = -0.0135048336716479, s75 = -0.0135048336716479,
     s76 = -0.0135048336716479, s77 = -0.0135048336716479, s78 = -0.0135048336716479,
     s79 = -0.0135048336716479, s80 = -0.0135048336716479, s81 = -0.0135048336716479,
     s82 = -0.0135048336716479, s83 = -0.0135048336716479, s84 = -0.0135048336716479,
     s85 = -0.0135048336716479, s86 = -0.0135048336716479, s87 = -0.0135048336716479,
     s88 = -0.0135048336716479, s89 = -0.0135048336716479, s90 = -0.0135048336716479,
     s91 = -0.0135048336716479, s92 = -0.0135048336716479, s93 = -0.0135048336716479,
     s94 = -0.0135048336716479, s95 = -0.0135048336716479, s96 = -0.0135048336716479,
     s97 = -0.0135048336716479, s98 = -0.0135048336716479, s99 = -0.0135048336716479),
     beta = new("dgCMatrix", i = 2L, p = c(0L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
     1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L), Dim = c(3L, 100L), Dimnames = list(
     c("V1", "V2", "V3"), c("s0", "s1", "s2", "s3", "s4", "s5", "s6", "s7", "s8",
     "s9", "s10", "s11", "s12", "s13", "s14", "s15", "s16", "s17", "s18", "s19",
     "s20", "s21", "s22", "s23", "s24", "s25", "s26", "s27", "s28", "s29", "s30",
     "s31", "s32", "s33", "s34", "s35", "s36", "s37", "s38", "s39", "s40", "s41",
     "s42", "s43", "s44", "s45", "s46", "s47", "s48", "s49", "s50", "s51", "s52",
     "s53", "s54", "s55", "s56", "s57", "s58", "s59", "s60", "s61", "s62", "s63",
     "s64", "s65", "s66", "s67", "s68", "s69", "s70", "s71", "s72", "s73", "s74",
     "s75", "s76", "s77", "s78", "s79", "s80", "s81", "s82", "s83", "s84", "s85",
     "s86", "s87", "s88", "s89", "s90", "s91", "s92", "s93", "s94", "s95", "s96",
     "s97", "s98", "s99")), x = 5.0413464276004e-37, factors = list()), df = c(1L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L),
     dim = c(3L, 100L), lambda = c(NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN), dev.ratio = c(1.32842647876795e-39,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56,
     8.49117988633597e-56, 8.49117988633597e-56, 8.49117988633597e-56), nulldev = 22.9233772550536,
     npasses = 100L, jerr = 0L, offset = FALSE, call = glmnet(x = x[!which, , drop = FALSE],
     y = y_sub, family = ..3, weights = weights[!which], offset = offset_sub,
     alpha = ..5, lambda = lambda, intercept = TRUE, lower.limits = 0, upper.limits = Inf),
     nobs = 24L), class = c("elnet", "glmnet")), structure(list(a0 = c(s0 = 0.0917645455855173,
     s1 = 0.0917645455855173, s2 = 0.0917645455855173, s3 = 0.0917645455855173, s4 = 0.0917645455855173,
     s5 = 0.0917645455855173, s6 = 0.0917645455855173, s7 = 0.0917645455855173, s8 = 0.0917645455855173,
     s9 = 0.0917645455855173, s10 = 0.0917645455855173, s11 = 0.0917645455855173, s12 = 0.0917645455855173,
     s13 = 0.0917645455855173, s14 = 0.0917645455855173, s15 = 0.0917645455855173, s16 = 0.0917645455855173,
     s17 = 0.0917645455855173, s18 = 0.0917645455855173, s19 = 0.0917645455855173, s20 = 0.0917645455855173,
     s21 = 0.0917645455855173, s22 = 0.0917645455855173, s23 = 0.0917645455855173, s24 = 0.0917645455855173,
     s25 = 0.0917645455855173, s26 = 0.0917645455855173, s27 = 0.0917645455855173, s28 = 0.0917645455855173,
     s29 = 0.0917645455855173, s30 = 0.0917645455855173, s31 = 0.0917645455855173, s32 = 0.0917645455855173,
     s33 = 0.0917645455855173, s34 = 0.0917645455855173, s35 = 0.0917645455855173, s36 = 0.0917645455855173,
     s37 = 0.0917645455855173, s38 = 0.0917645455855173, s39 = 0.0917645455855173, s40 = 0.0917645455855173,
     s41 = 0.0917645455855173, s42 = 0.0917645455855173, s43 = 0.0917645455855173, s44 = 0.0917645455855173,
     s45 = 0.0917645455855173, s46 = 0.0917645455855173, s47 = 0.0917645455855173, s48 = 0.0917645455855173,
     s49 = 0.0917645455855173, s50 = 0.0917645455855173, s51 = 0.0917645455855173, s52 = 0.0917645455855173,
     s53 = 0.0917645455855173, s54 = 0.0917645455855173, s55 = 0.0917645455855173, s56 = 0.0917645455855173,
     s57 = 0.0917645455855173, s58 = 0.0917645455855173, s59 = 0.0917645455855173, s60 = 0.0917645455855173,
     s61 = 0.0917645455855173, s62 = 0.0917645455855173, s63 = 0.0917645455855173, s64 = 0.0917645455855173,
     s65 = 0.0917645455855173, s66 = 0.0917645455855173, s67 = 0.0917645455855173, s68 = 0.0917645455855173,
     s69 = 0.0917645455855173, s70 = 0.0917645455855173, s71 = 0.0917645455855173, s72 = 0.0917645455855173,
     s73 = 0.0917645455855173, s74 = 0.0917645455855173, s75 = 0.0917645455855173, s76 = 0.0917645455855173,
     s77 = 0.0917645455855173, s78 = 0.0917645455855173, s79 = 0.0917645455855173, s80 = 0.0917645455855173,
     s81 = 0.0917645455855173, s82 = 0.0917645455855173, s83 = 0.0917645455855173, s84 = 0.0917645455855173,
     s85 = 0.0917645455855173, s86 = 0.0917645455855173, s87 = 0.0917645455855173, s88 = 0.0917645455855173,
     s89 = 0.0917645455855173, s90 = 0.0917645455855173, s91 = 0.0917645455855173, s92 = 0.0917645455855173,
     s93 = 0.0917645455855173, s94 = 0.0917645455855173, s95 = 0.0917645455855173, s96 = 0.0917645455855173,
     s97 = 0.0917645455855173, s98 = 0.0917645455855173, s99 = 0.0917645455855173), beta = new("dgCMatrix",
     i = 1:2, p = c(0L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L), Dim = c(3L, 100L), Dimnames = list(c("V1", "V2", "V3"),
     c("s0", "s1", "s2", "s3", "s4", "s5", "s6", "s7", "s8", "s9", "s10", "s11",
     "s12", "s13", "s14", "s15", "s16", "s17", "s18", "s19", "s20", "s21", "s22",
     "s23", "s24", "s25", "s26", "s27", "s28", "s29", "s30", "s31", "s32", "s33",
     "s34", "s35", "s36", "s37", "s38", "s39", "s40", "s41", "s42", "s43", "s44",
     "s45", "s46", "s47", "s48", "s49", "s50", "s51", "s52", "s53", "s54", "s55",
     "s56", "s57", "s58", "s59", "s60", "s61", "s62", "s63", "s64", "s65", "s66",
     "s67", "s68", "s69", "s70", "s71", "s72", "s73", "s74", "s75", "s76", "s77",
     "s78", "s79", "s80", "s81", "s82", "s83", "s84", "s85", "s86", "s87", "s88",
     "s89", "s90", "s91", "s92", "s93", "s94", "s95", "s96", "s97", "s98", "s99"
     )), x = c(3.40501063395993e-37, 3.53581583618087e-37), factors = list()),
     df = c(2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L), dim = c(3L, 100L), lambda = c(NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN), dev.ratio = c(3.97848639136522e-38,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55,
     2.32272800643112e-55, 2.32272800643112e-55, 2.32272800643112e-55), nulldev = 23.4661355720946,
     npasses = 100L, jerr = 0L, offset = FALSE, call = glmnet(x = x[!which, , drop = FALSE],
     y = y_sub, family = ..3, weights = weights[!which], offset = offset_sub,
     alpha = ..5, lambda = lambda, intercept = TRUE, lower.limits = 0, upper.limits = Inf),
     nobs = 25L), class = c("elnet", "glmnet")), structure(list(a0 = c(s0 = 0.022094250076865,
     s1 = 0.022094250076865, s2 = 0.022094250076865, s3 = 0.022094250076865, s4 = 0.022094250076865,
     s5 = 0.022094250076865, s6 = 0.022094250076865, s7 = 0.022094250076865, s8 = 0.022094250076865,
     s9 = 0.022094250076865, s10 = 0.022094250076865, s11 = 0.022094250076865, s12 = 0.022094250076865,
     s13 = 0.022094250076865, s14 = 0.022094250076865, s15 = 0.022094250076865, s16 = 0.022094250076865,
     s17 = 0.022094250076865, s18 = 0.022094250076865, s19 = 0.022094250076865, s20 = 0.022094250076865,
     s21 = 0.022094250076865, s22 = 0.022094250076865, s23 = 0.022094250076865, s24 = 0.022094250076865,
     s25 = 0.022094250076865, s26 = 0.022094250076865, s27 = 0.022094250076865, s28 = 0.022094250076865,
     s29 = 0.022094250076865, s30 = 0.022094250076865, s31 = 0.022094250076865, s32 = 0.022094250076865,
     s33 = 0.022094250076865, s34 = 0.022094250076865, s35 = 0.022094250076865, s36 = 0.022094250076865,
     s37 = 0.022094250076865, s38 = 0.022094250076865, s39 = 0.022094250076865, s40 = 0.022094250076865,
     s41 = 0.022094250076865, s42 = 0.022094250076865, s43 = 0.022094250076865, s44 = 0.022094250076865,
     s45 = 0.022094250076865, s46 = 0.022094250076865, s47 = 0.022094250076865, s48 = 0.022094250076865,
     s49 = 0.022094250076865, s50 = 0.022094250076865, s51 = 0.022094250076865, s52 = 0.022094250076865,
     s53 = 0.022094250076865, s54 = 0.022094250076865, s55 = 0.022094250076865, s56 = 0.022094250076865,
     s57 = 0.022094250076865, s58 = 0.022094250076865, s59 = 0.022094250076865, s60 = 0.022094250076865,
     s61 = 0.022094250076865, s62 = 0.022094250076865, s63 = 0.022094250076865, s64 = 0.022094250076865,
     s65 = 0.022094250076865, s66 = 0.022094250076865, s67 = 0.022094250076865, s68 = 0.022094250076865,
     s69 = 0.022094250076865, s70 = 0.022094250076865, s71 = 0.022094250076865, s72 = 0.022094250076865,
     s73 = 0.022094250076865, s74 = 0.022094250076865, s75 = 0.022094250076865, s76 = 0.022094250076865,
     s77 = 0.022094250076865, s78 = 0.022094250076865, s79 = 0.022094250076865, s80 = 0.022094250076865,
     s81 = 0.022094250076865, s82 = 0.022094250076865, s83 = 0.022094250076865, s84 = 0.022094250076865,
     s85 = 0.022094250076865, s86 = 0.022094250076865, s87 = 0.022094250076865, s88 = 0.022094250076865,
     s89 = 0.022094250076865, s90 = 0.022094250076865, s91 = 0.022094250076865, s92 = 0.022094250076865,
     s93 = 0.022094250076865, s94 = 0.022094250076865, s95 = 0.022094250076865, s96 = 0.022094250076865,
     s97 = 0.022094250076865, s98 = 0.022094250076865, s99 = 0.022094250076865), beta = new("dgCMatrix",
     i = 1:2, p = c(0L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
     2L, 2L, 2L, 2L, 2L), Dim = c(3L, 100L), Dimnames = list(c("V1", "V2", "V3"),
     c("s0", "s1", "s2", "s3", "s4", "s5", "s6", "s7", "s8", "s9", "s10", "s11",
     "s12", "s13", "s14", "s15", "s16", "s17", "s18", "s19", "s20", "s21", "s22",
     "s23", "s24", "s25", "s26", "s27", "s28", "s29", "s30", "s31", "s32", "s33",
     "s34", "s35", "s36", "s37", "s38", "s39", "s40", "s41", "s42", "s43", "s44",
     "s45", "s46", "s47", "s48", "s49", "s50", "s51", "s52", "s53", "s54", "s55",
     "s56", "s57", "s58", "s59", "s60", "s61", "s62", "s63", "s64", "s65", "s66",
     "s67", "s68", "s69", "s70", "s71", "s72", "s73", "s74", "s75", "s76", "s77",
     "s78", "s79", "s80", "s81", "s82", "s83", "s84", "s85", "s86", "s87", "s88",
     "s89", "s90", "s91", "s92", "s93", "s94", "s95", "s96", "s97", "s98", "s99"
     )), x = c(2.96005541864874e-37, 1.94191867769806e-36), factors = list()),
     df = c(2L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
     0L, 0L), dim = c(3L, 100L), lambda = c(NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN,
     NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN, NaN), dev.ratio = c(6.24425224071553e-38,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55,
     -1.79700767575741e-55, -1.79700767575741e-55, -1.79700767575741e-55), nulldev = 20.5042470601621,
     npasses = 100L, jerr = 0L, offset = FALSE, call = glmnet(x = x[!which, , drop = FALSE],
     y = y_sub, family = ..3, weights = weights[!which], offset = offset_sub,
     alpha = ..5, lambda = lambda, intercept = TRUE, lower.limits = 0, upper.limits = Inf),
     nobs = 25L), class = c("elnet", "glmnet"))), c(57.3465085654955, 52.2520027981373,
     47.6100788821051, 43.3805306930947, 39.5267239080728, 36.0152786962956, 32.8157805991841,
     29.9005170948338, 27.2442375654071, 24.8239345883615, 22.6186446571621, 20.6092666054167,
     18.7783961617104, 17.1101752021325, 15.590154394794, 14.2051680466265, 12.9432200684479,
     11.7933800705763, 10.7456886890238, 9.79107132224993, 8.92125953130457, 8.12871942256505,
     7.40658639275388, 6.74860567102911, 6.1490781431515, 5.60281098848344, 5.10507270226072,
     4.65155211356182, 4.23832104400782, 3.86180028376044, 3.51872859011874, 3.20613444019496,
     2.92131029300484, 2.66178913804283, 2.42532312721738, 2.20986410506603, 2.01354586861265,
     1.83466800321006, 1.67168115436178, 1.5231736079546, 1.38785906266629, 1.26456548863887,
     1.15222497591673, 1.04986448472139, 0.956597417446508, 0.871615939373519, 0.794183981593767,
     0.72363086553175, 0.659345493848146, 0.600771057407005, 0.547400212461383, 0.498770686284518,
     0.454461273184616, 0.414088186222649, 0.377301733033493, 0.343783286957948, 0.313242527251046,
     0.285414924462644, 0.260059449209877, 0.236956484495948, 0.215905923492765, 0.196725436311328,
     0.179248890747451, 0.163324913324092, 0.148815578166703, 0.135595212355293, 0.123549307405714,
     0.11257352745195, 0.102572805538762, 0.0934605201971962, 0.0851577451708646, 0.0775925657944655,
     0.0706994561033576, 0.0644187112790014, 0.0586959305143828, 0.0534815458202483, 0.0487303926908943,
     0.0444013189108253, 0.0404568281139504, 0.0368627550079976, 0.0335879694510972, 0.0306041068173846,
     0.027885322316181, 0.0254080671367802, 0.023150884479916, 0.0210942237092316, 0.0192202710130202,
     0.0175127951095101, 0.0159570066592671, 0.014539430167011, 0.0132477872633224, 0.0120708903552806,
     0.0109985457248853, 0.0100214652359487, 0.0091311858847026, 0.00831999649730848,
     0.00758087093935881, 0.00690740725886199, 0.00629377223559683, 0.00573465085654955
     ), structure(c(0.0942357357946558, -0.130130971719669, 0.325011757561568, 0.410193166531739,
     0.0817764366309947, 0.0797305908847132, -0.176098758135674, 0.209564911614099, -0.093418643078433,
     0.286356201932695, 0.282886287502727, -0.0217335867282487, -0.0140564041981176, 0.0878547748396327,
     -0.00667174018383536, -0.101784123617474, -0.084806819058378, 0.0848436556787293,
     -0.180376970756426, 0.0920745266026087, -0.178330442602594, 0.282212130751698, 0.102130224734889,
     0.224532923069372, 0.326401367386421, 0.21906341545035, 0.0281976931233476, 0.226455534966836,
     -0.332525564794802, 0.149955051765911, 0.245178835800484, -0.36594621752323, 0.0508097141294437,
     -0.648549355954173, -0.62477172320444, 0.636530933824756, -0.749511573138093, -1.16575047764585,
     -0.198661859701033, 0.168379055093148, -0.547682803949651, -0.157511835488316, -0.802252937802283,
     -1.11368654658126, -0.53283618184202, -0.67184536694877, -0.834084621837814, -0.202855483437717,
     -0.204835489063652, 0.00527391571086845, -0.405805465049789, -0.429342617095115,
     0.0333944042727253, -0.538272619292202, 0.0375121136250964, -1.33859273931534, -0.704229104583784,
     -0.761611627846018, -0.69482193804531, -0.817109040010756, 1.42806331537426, 1.44879177531411,
     1.43615612558342, 1.48817535763369, 1.45172160663967, 1.37506078614104, 1.42424925461255,
     1.41243462008246, 1.4493852620903, 1.45992902322317, 1.4171657108465, 1.38629436111989,
     1.41931376839447, 1.38629436111989, 1.38629436111989, 1.38629436111989, 1.53867272379388,
     1.44601263174823, 1.44402293392565, 1.40954724175583, 1.4114720837685, 1.38629436111989,
     1.44139646074427, 1.38629436111989, 1.50206222649559, 1.44980892288071, 1.3309974248801,
     1.51938298680793, 1.49316362464396, 1.38629436111989), .Dim = c(30L, 3L)), c(-0.626453810742332,
     0.183643324222082, -0.835628612410047, 1.59528080213779, 0.329507771815361, -0.820468384118015,
     0.487429052428485, 0.738324705129217, 0.575781351653492, -0.305388387156356, 1.51178116845085,
     0.389843236411431, -0.621240580541804, -2.2146998871775, 1.12493091814311, -0.0449336090152309,
     -0.0161902630989461, 0.943836210685299, 0.821221195098089, 0.593901321217509, 0.918977371608218,
     0.782136300731067, 0.0745649833651906, -1.98935169586337, 0.61982574789471, -0.0561287395290008,
     -0.155795506705329, -1.47075238389927, -0.47815005510862, 0.417941560199702), c(1,
     1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
     1, 1), NULL, c(5L, 3L, 2L, 2L, 3L, 4L, 4L, 5L, 3L, 2L, 5L, 1L, 5L, 1L, 1L, 1L, 2L,
     3L, 3L, 4L, 5L, 1L, 4L, 1L, 2L, 3L, 4L, 2L, 2L, 1L), c(`Mean-squared Error` = "deviance"),
     TRUE, FALSE, "lambda")
     5: predict(fitobj, x[which, , drop = FALSE], s = lambda)
     6: predict.elnet(fitobj, x[which, , drop = FALSE], s = lambda)
     7: NextMethod("predict")
     8: predict.glmnet(fitobj, x[which, , drop = FALSE], s = lambda)
     9: lambda.interp(lambda, s)
     10: approx(lambda, seq(lambda), sfrac)
     11: stop("need at least two non-NA values to interpolate")
    
     ══ testthat results ═══════════════════════════════════════════════════════════
     [ OK: 3 | SKIPPED: 0 | WARNINGS: 1 | FAILED: 1 ]
     1. Error: (unknown) (@test.R#24)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-patched-solaris-x86

Version: 0.0.2
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
     ...
    --- re-building ‘article.Rmd’ using rmarkdown
    Warning in engine$weave(file, quiet = quiet, encoding = enc) :
     The vignette engine knitr::rmarkdown is not available, because the rmarkdown package is not installed. Please install it.
    --- finished re-building ‘article.Rmd’
    
    --- re-building ‘vignette.Rmd’ using rmarkdown
    Warning in engine$weave(file, quiet = quiet, encoding = enc) :
     The vignette engine knitr::rmarkdown is not available, because the rmarkdown package is not installed. Please install it.
    Quitting from lines 105-106 (vignette.Rmd)
    Error: processing vignette 'vignette.Rmd' failed with diagnostics:
    need at least two non-NA values to interpolate
    --- failed re-building ‘vignette.Rmd’
    
    SUMMARY: processing the following file failed:
     ‘vignette.Rmd’
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-patched-solaris-x86

Package palasso

Current CRAN status: NOTE: 8, OK: 4

Version: 0.0.5
Check: package dependencies
Result: NOTE
    Package which this enhances but not available for checking: 'CorShrink'
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64

Version: 0.0.5
Check: package dependencies
Result: NOTE
    Packages which this enhances but not available for checking:
     'CorShrink', 'edgeR'
Flavor: r-release-osx-x86_64