Package: penfa 0.1.1

penfa: Single- And Multiple-Group Penalized Factor Analysis

Fits single- and multiple-group penalized factor analysis models via a trust-region algorithm with integrated automatic multiple tuning parameter selection (Geminiani et al., 2021 <doi:10.1007/s11336-021-09751-8>). Available penalties include lasso, adaptive lasso, scad, mcp, and ridge.

Authors:Elena Geminiani [aut, cre], Giampiero Marra [aut], Irini Moustaki [aut]

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penfa.pdf |penfa.html✨
penfa/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/egeminiani/penfa/issues

Datasets:
  • ccdata - Data set for cross-cultural analysis

On CRAN:

factor-analysislassolatent-variablesmultiple-groupoptimizationpenalizationpsychometrics

4.48 score 3 stars 5 scripts 201 downloads 1 mentions 10 exports 63 dependencies

Last updated 3 years agofrom:c839bfb312. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winOKNov 20 2024
R-4.5-linuxOKNov 20 2024
R-4.4-winOKNov 20 2024
R-4.4-macOKNov 20 2024
R-4.3-winOKNov 20 2024
R-4.3-macOKNov 20 2024

Exports:coeffittedpenfapenfaOptionspenfaOutpenfaParEstimpenfaPredictpenmatshowsummary

Dependencies:abindADGofTestclicolorspacecopulaDBIdistrdistrExevdfansifarvergamlss.distggplot2GJRMgluegmpGPArotationgslgtableismevisobandlabelinglatticelifecyclemagicmagrittrMASSMatrixmatrixStatsmgcvminqamitoolsmnormtmunsellmvtnormnlmenumDerivpcaPPpillarpkgconfigpsplinepsychR6RColorBrewerRcppRcppArmadillorlangRmpfrscalesscamsfsmiscstablediststartupmsgsurveysurvivaltibbletrustutf8vctrsVGAMVineCopulaviridisLitewithr

Penalized Factor Analysis

Rendered fromautomatic-tuning-selection.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2021-07-11
Started: 2021-06-28

Penalized Factor Analysis: grid search

Rendered fromgrid-search-tuning-selection.Rmdusingknitr::rmarkdownon Nov 20 2024.

Last update: 2021-07-13
Started: 2021-06-28