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.

AuthorKei Hirose, Michio Yamamoto, Haruhisa Nagata
Date of publication2016-12-13 07:57:08
MaintainerKei Hirose <mail@keihirose.com>
LicenseGPL (>= 2)
Version2.2
http://link.springer.com/article/10.1007%2Fs11222-014-9458-0, http://www.sciencedirect.com/science/article/pii/S0167947314001510, http://www.keihirose.com

View on CRAN

Files in this package

fanc
fanc/src
fanc/src/ezprof.h
fanc/src/Makevars
fanc/src/fanc.c
fanc/src/ezprof.c
fanc/src/zeroin.c
fanc/src/zeroin.h
fanc/NAMESPACE
fanc/R
fanc/R/plot.fanc.R fanc/R/print.fanc.R fanc/R/select.fanc.R fanc/R/fanc.R fanc/R/out.fanc.R
fanc/MD5
fanc/DESCRIPTION
fanc/man
fanc/man/select.fanc.Rd fanc/man/fanc.Rd fanc/man/out.fanc.Rd fanc/man/plot.fanc.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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