Package: MixLFA 1.0.0

Amine Ounajim

MixLFA: Mixture of Longitudinal Factor Analysis Methods

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.

Authors:Amine Ounajim [aut, cre], Yousri Slaoui [aut], Omar Lahbabi [aut], Philippe Rigoard [ctb]

MixLFA_1.0.0.tar.gz
MixLFA_1.0.0.tar.gz(r-4.5-noble)MixLFA_1.0.0.tar.gz(r-4.4-noble)
MixLFA_1.0.0.tgz(r-4.4-emscripten)MixLFA_1.0.0.tgz(r-4.3-emscripten)
MixLFA.pdf |MixLFA.html✨
MixLFA/json (API)

# Install 'MixLFA' in R:
install.packages('MixLFA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cpp

1.00 score 206 downloads 7 exports 49 dependencies

Last updated 2 months agofrom:362991b989. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 17 2024
R-4.5-linux-x86_64OKDec 17 2024

Exports:Fixed_coefgenerate_heatmapMLFAOblimin_Rotationplot_BICPredictstdUnique

Dependencies:clicolorspacecpp11crayondplyrfansifarverforcatsgenericsGGallyggplot2ggstatsglueGPArotationgtablehmsisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepatchworkpheatmappillarpkgconfigplyrprettyunitsprogresspurrrR6RColorBrewerRcppRcppEigenrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr