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.

Getting started

Package details

AuthorKei Hirose, Michio Yamamoto, Haruhisa Nagata
MaintainerKei Hirose <[email protected]>
LicenseGPL (>= 2)
Version2.2
URL http://link.springer.com/article/10.1007%2Fs11222-014-9458-0 http://www.sciencedirect.com/science/article/pii/S0167947314001510 http://www.keihirose.com
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("fanc")

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fanc documentation built on May 1, 2019, 7:55 p.m.