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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.
Version: | 0.1.1 |
Depends: | R (≥ 3.5.0) |
Imports: | MASS, methods, mgcv, GJRM, stats, trust, utils |
Suggests: | cartography, knitr, plotly, rmarkdown |
Published: | 2021-07-17 |
DOI: | 10.32614/CRAN.package.penfa |
Author: | Elena Geminiani [aut, cre], Giampiero Marra [aut], Irini Moustaki [aut] |
Maintainer: | Elena Geminiani <geminianielena at gmail.com> |
License: | GPL-3 |
URL: | https://github.com/egeminiani/penfa |
NeedsCompilation: | no |
Citation: | penfa citation info |
Materials: | README NEWS |
CRAN checks: | penfa results |
Reference manual: | penfa.pdf |
Vignettes: |
Penalized Factor Analysis Penalized Factor Analysis: grid search |
Package source: | penfa_0.1.1.tar.gz |
Windows binaries: | r-devel: penfa_0.1.1.zip, r-release: penfa_0.1.1.zip, r-oldrel: penfa_0.1.1.zip |
macOS binaries: | r-release (arm64): penfa_0.1.1.tgz, r-oldrel (arm64): penfa_0.1.1.tgz, r-release (x86_64): penfa_0.1.1.tgz, r-oldrel (x86_64): penfa_0.1.1.tgz |
Old sources: | penfa archive |
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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.
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