Fast Functional Mixed Models using Fast Univariate Inference

Implementation of the fast univariate inference approach (Cui et al. (2022) , Loewinger et al. (2024) , Xin et al. (2025) ) for fitting functional mixed models. User guides and Python package information can be found at < https://github.com/gloewing/photometry_FLMM>.


Reference manual

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install.packages("fastFMM")

1.0.1 by Al Xin, 5 months ago


https://github.com/awqx/fastFMM


Report a bug at https://github.com/awqx/fastFMM/issues


Browse source code at https://github.com/cran/fastFMM


Authors: Erjia Cui [aut] , Gabriel Loewinger [aut] , Al Xin [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports dplyr, lme4, parallel, cAIC4, magrittr, mgcv, MASS, lsei, refund, stringr, Matrix, mvtnorm, progress, ggplot2, gridExtra, Rfast, lmeresampler, stats, methods

Suggests knitr, rmarkdown, spelling


See at CRAN