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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 12 months agofrom:3adc3f844f. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 10 2024 |
| R-4.5-linux-x86_64 | OK | Dec 10 2024 |
Exports:fancoutplot.fancprint.fancselect
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| 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 |
