np: Nonparametric Kernel Smoothing Methods for Mixed Data Types

Nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered, and ordered factor data types. We would like to gratefully acknowledge support from the Natural Sciences and Engineering Research Council of Canada (NSERC, <http://www.nserc-crsng.gc.ca>), the Social Sciences and Humanities Research Council of Canada (SSHRC, <http://www.sshrc-crsh.gc.ca>), and the Shared Hierarchical Academic Research Computing Network (SHARCNET, <http://www.sharcnet.ca>).

Version: 0.60-4
Imports: boot, cubature, methods, quantreg, stats
Suggests: MASS
Published: 2017-12-04
Author: Jeffrey S. Racine [aut, cre], Tristen Hayfield [aut]
Maintainer: Jeffrey S. Racine <racinej at mcmaster.ca>
BugReports: https://github.com/JeffreyRacine/R-Package-np/issues
License: GPL-2 | GPL-3 [expanded from: GPL]
Copyright: see file COPYRIGHTS
URL: https://github.com/JeffreyRacine/R-Package-np
NeedsCompilation: yes
Citation: np citation info
Materials: README ChangeLog
In views: Econometrics, SocialSciences
CRAN checks: np results

Downloads:

Reference manual: np.pdf
Vignettes: Entropy-based Inference Using the np Package
The np Package
Frequently Asked Questions (np)
Package source: np_0.60-4.tar.gz
Windows binaries: r-devel: np_0.60-4.zip, r-release: np_0.60-4.zip, r-oldrel: np_0.60-4.zip
OS X El Capitan binaries: r-release: np_0.60-4.tgz
OS X Mavericks binaries: r-oldrel: np_0.60-4.tgz
Old sources: np archive

Reverse dependencies:

Reverse depends: CovSel, DepthProc, generalCorr, rddtools, semsfa, stam
Reverse imports: analytics, anchoredDistr, CARS, condSURV, crs, drtmle, npbr, nse, NSM3, rpatrec, survidm, treeclim
Reverse suggests: AER, BNSP, mlt.docreg, spaero

Linking:

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