Package: fastFMM
Type: Package
Title: Fast Functional Mixed Models using Fast Univariate Inference
Version: 1.0.1
Date: 2026-05-17
Authors@R: c(
    person("Erjia", "Cui", role = c("aut"), email = "ecui@umn.edu"),
    person("Gabriel", "Loewinger", role = "aut", email = "gloewinger@gmail.com"),
    person("Al", "Xin", role = c("aut", "cre"), email = "axin@andrew.cmu.edu"))
Description: Implementation of the fast univariate inference approach (Cui et al. (2022) <doi:10.1080/10618600.2021.1950006>, Loewinger et al. (2024) <doi:10.7554/eLife.95802.2>, Xin et al. (2025) <doi:10.7554/eLife.109428.1>) for fitting functional mixed models. User guides and Python package information can be found at <https://github.com/gloewing/photometry_FLMM>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Repository: CRAN
Imports: dplyr, lme4, parallel, cAIC4, magrittr, mgcv, MASS, lsei,
        refund, stringr, Matrix, mvtnorm, progress, ggplot2, gridExtra,
        Rfast, lmeresampler, stats, methods
URL: https://github.com/awqx/fastFMM
BugReports: https://github.com/awqx/fastFMM/issues
VignetteBuilder: knitr
Suggests: knitr, rmarkdown, spelling
Language: en-US
Depends: R (>= 3.5)
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-05-18 02:03:19 UTC; axin
Author: Erjia Cui [aut],
  Gabriel Loewinger [aut],
  Al Xin [aut, cre]
Maintainer: Al Xin <axin@andrew.cmu.edu>
Date/Publication: 2026-05-18 08:20:07 UTC
Built: R 4.5.3; ; 2026-05-26 14:56:22 UTC; windows
