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]

penfa_0.1.1.tar.gz
penfa_0.1.1.zip(r-4.7-any)penfa_0.1.1.zip(r-4.6-any)penfa_0.1.1.zip(r-4.5-any)
penfa_0.1.1.tgz(r-4.6-any)penfa_0.1.1.tgz(r-4.5-any)
penfa_0.1.1.tar.gz(r-4.7-any)penfa_0.1.1.tar.gz(r-4.6-any)
penfa_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
penfa/json (API)

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

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

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

On CRAN:

Conda:

factor-analysislassolatent-variablesmultiple-groupoptimizationpenalizationpsychometrics

4.48 score 3 stars 7 scripts 318 downloads 1 mentions 10 exports 60 dependencies

Last updated from:c839bfb312. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK172
source / vignettesOK292
linux-release-x86_64OK221
macos-release-arm64OK171
macos-oldrel-arm64OK179
windows-develOK119
windows-releaseOK140
windows-oldrelOK120
wasm-releaseOK133

Exports:coeffittedpenfapenfaOptionspenfaOutpenfaParEstimpenfaPredictpenmatshowsummary

Dependencies:abindADGofTestcliclustercolorspacecopulacpp11DBIdistrdistrExevdfarvergamlss.distggplot2GJRMgluegmpGPArotationgslgtableismevisobandlabelinglatticelifecyclemagicMASSMatrixmatrixStatsmgcvminqamitoolsmnormtmvtnormnlmenumDerivpcaPPpracmapsplinepsychR6RColorBrewerRcppRcppArmadillorlangRmpfrS7scalesscamsfsmiscstablediststartupmsgsurveysurvivaltrustvctrsVGAMVineCopulaviridisLitewithr

Penalized Factor Analysis: grid search
Introduction | Model specification | Model fitting | Scad | Grid search | Implied moments | Factor scores | Mcp | Conclusion | R Session | References
Rendered fromgrid-search-tuning-selection.Rmdusingknitr::rmarkdown

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

Penalized Factor Analysis
Introduction | Model specification | Model fitting | Unpenalized (MLE) model | Lasso | Alasso | Effective degrees of freedom | Summary | Implied moments | Penalty matrix | Factor scores | R Session | References
Rendered fromautomatic-tuning-selection.Rmdusingknitr::rmarkdown

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