Package: fanc 2.3.11

Kei Hirose

fanc: Penalized Likelihood Factor Analysis via Nonconvex Penalty

Computes the penalized maximum likelihood estimates of factor loadings and unique variances for various tuning parameters. The pathwise coordinate descent along with EM algorithm is used. This package also includes a new graphical tool which outputs path diagram, goodness-of-fit indices and model selection criteria for each regularization parameter. The user can change the regularization parameter by manipulating scrollbars, which is helpful to find a suitable value of regularization parameter.

Authors:Kei Hirose [aut, cre], Michio Yamamoto [aut], Haruhisa Nagata [aut]

fanc_2.3.11.tar.gz
fanc_2.3.11.tar.gz(r-4.5-noble)fanc_2.3.11.tar.gz(r-4.4-noble)
fanc_2.3.11.tgz(r-4.4-emscripten)fanc_2.3.11.tgz(r-4.3-emscripten)
fanc.pdf |fanc.html✨
fanc/json (API)

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • openmp– GCC OpenMP (GOMP) support library

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

1.00 score 5 scripts 376 downloads 1 mentions 5 exports 3 dependencies

Last updated 11 months agofrom:3adc3f844f. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-linux-x86_64OKNov 10 2024

Exports:fancoutplot.fancprint.fancselect

Dependencies:ellipselatticeMatrix

Readme and manuals

Help Manual

Help pageTopics
fanc (penalized maximum likelihood factor analysis via nonconvex penalties)fanc print.fanc
output from a "fanc" object for fixed value of gamma.out
plot the solution path from a "fanc" object.cbExposeCanvas cbExposeLabel cbExposeLabelGamma cbExposeLabelLambda cbValueChanged cbValueChangedGamma cbValueChangedLabel cbValueChangedLabelGamma cbValueChangedLabelLambda cbValueChangedLambda MakeInterface plot.fanc
select from a "fanc" object for fixed value of gamma.select