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Provides a function for the estimation of mixture of longitudinal factor analysis models using the iterative expectation-maximization algorithm (Ounajim, Slaoui, Louis, Billot, Frasca, Rigoard (2023) <doi:10.1002/sim.9804>) and several tools for visualizing and interpreting the models' parameters.
Version: | 1.0.0 |
Depends: | R (≥ 3.5.0) |
Imports: | Rcpp (≥ 1.0.0), ggplot2, pheatmap, GGally, dplyr, GPArotation |
LinkingTo: | Rcpp, RcppEigen |
Suggests: | testthat, rmarkdown |
Published: | 2024-10-17 |
DOI: | 10.32614/CRAN.package.MixLFA |
Author: | Amine Ounajim [aut, cre], Yousri Slaoui [aut], Omar Lahbabi [aut], Philippe Rigoard [ctb] |
Maintainer: | Amine Ounajim <amine.ounajim at chu-poitiers.fr> |
License: | GPL-3 |
NeedsCompilation: | yes |
CRAN checks: | MixLFA results |
Reference manual: | MixLFA.pdf |
Package source: | MixLFA_1.0.0.tar.gz |
Windows binaries: | r-devel: MixLFA_1.0.0.zip, r-release: MixLFA_1.0.0.zip, r-oldrel: MixLFA_1.0.0.zip |
macOS binaries: | r-release (arm64): MixLFA_1.0.0.tgz, r-oldrel (arm64): MixLFA_1.0.0.tgz, r-release (x86_64): MixLFA_1.0.0.tgz, r-oldrel (x86_64): MixLFA_1.0.0.tgz |
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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.