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:	0.3.0
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:	2024-09-29
DOI:	10.32614/CRAN.package.fastFMM
Author:	Erjia Cui [aut, cre], Gabriel Loewinger [aut], Al Xin [ctb]
Maintainer:	Erjia Cui <ecui at umn.edu>
BugReports:	https://github.com/gloewing/fastFMM/issues
License:	GPL (≥ 3)
URL:	https://github.com/gloewing/fastFMM
NeedsCompilation:	no
Language:	en-US
Materials:	README NEWS
In views:	FunctionalData
CRAN checks:	fastFMM results

Documentation:

Reference manual:	fastFMM.pdf
Vignettes:	fastFMM Vignette (source, R code)

Downloads:

Package source:	fastFMM_0.3.0.tar.gz
Windows binaries:	r-devel: fastFMM_0.3.0.zip, r-release: fastFMM_0.3.0.zip, r-oldrel: fastFMM_0.3.0.zip
macOS binaries:	r-devel (arm64): fastFMM_0.3.0.tgz, r-release (arm64): fastFMM_0.3.0.tgz, r-oldrel (arm64): fastFMM_0.3.0.tgz, r-devel (x86_64): fastFMM_0.3.0.tgz, r-release (x86_64): fastFMM_0.3.0.tgz, r-oldrel (x86_64): fastFMM_0.3.0.tgz
Old sources:	fastFMM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fastFMM to link to this page.