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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 |
| Reference manual: | fastFMM.pdf |
| Vignettes: |
fastFMM Vignette (source, R code) |
| 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-release (arm64): fastFMM_0.3.0.tgz, r-oldrel (arm64): 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 |
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