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

Functions

cbExposeCanvas Man page
cbExposeLabel Man page
cbExposeLabelGamma Man page
cbExposeLabelLambda Man page
cbValueChanged Man page
cbValueChangedGamma Man page
cbValueChangedLabel Man page
cbValueChangedLabelGamma Man page
cbValueChangedLabelLambda Man page
cbValueChangedLambda Man page
fanc Man page
MakeInterface Man page
out Man page
plot.fanc Man page
print.fanc Man page
select Man page

Files

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.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.