Package: fastFMM
Type: Package
Title: Fast Functional Mixed Models using Fast Univariate Inference
Version: 1.0.1.9000
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
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
Repository: https://awqx.r-universe.dev
Date/Publication: 2026-05-18 23:11:54 UTC
RemoteUrl: https://github.com/awqx/fastfmm
RemoteRef: HEAD
RemoteSha: 11059348272db5aba54a0b0f9de11ec85014acf6
NeedsCompilation: no
Packaged: 2026-07-18 06:49:11 UTC; root
Author: Erjia Cui [aut],
  Gabriel Loewinger [aut],
  Al Xin [aut, cre]
Maintainer: Al Xin <axin@andrew.cmu.edu>