The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
Please use the canonical form https://CRAN.R-project.org/package=fastFMM to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.