fanc: Penalized Likelihood Factor Analysis via Nonconvex Penalty

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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.

Author
Kei Hirose, Michio Yamamoto, Haruhisa Nagata
Date of publication
2016-11-08 10:56:51
Maintainer
Kei Hirose <mail@keihirose.com>
License
GPL (>= 2)
Version
2.1
URLs

View on CRAN

Man pages

fanc
fanc (penalized maximum likelihood factor analysis via...
out.fanc
output from a "fanc" object for fixed value of gamma.
plot.fanc
plot the solution path from a "fanc" object.
select.fanc
select from a "fanc" object for fixed value of gamma.

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