fastFMM: Fast Functional Mixed Models using Fast Univariate Inference

Implementation of the fast univariate inference approach (Cui et al. (2022) <doi:10.1080/10618600.2021.1950006>, Loewinger et al. (2023) <doi:10.1101/2023.11.06.565896>) for fitting functional mixed models.

Version: 0.2.0
Imports: lme4, parallel, cAIC4, magrittr, dplyr, mgcv, MASS, lsei, refund, stringr, Matrix, mvtnorm, progress, ggplot2, gridExtra, Rfast, lmeresampler, stats, methods
Suggests: knitr, rmarkdown, spelling
Published: 2024-02-02
DOI: 10.32614/CRAN.package.fastFMM
Author: Erjia Cui [aut, cre], Gabriel Loewinger [aut]
Maintainer: Erjia Cui <ecui at>
License: GPL (≥ 3)
NeedsCompilation: no
Language: en-US
Materials: README NEWS
In views: FunctionalData
CRAN checks: fastFMM results


Reference manual: fastFMM.pdf
Vignettes: fastFMM Vignette


Package source: fastFMM_0.2.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): fastFMM_0.2.0.tgz, r-oldrel (arm64): fastFMM_0.2.0.tgz, r-release (x86_64): fastFMM_0.2.0.tgz, r-oldrel (x86_64): fastFMM_0.2.0.tgz
Old sources: fastFMM archive


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