fanc (2.2)

0 users

Penalized Likelihood Factor Analysis via Nonconvex Penalty.

http://link.springer.com/article/10.1007%2Fs11222-014-9458-0
http://www.sciencedirect.com/science/article/pii/S0167947314001510
http://www.keihirose.com
http://cran.r-project.org/web/packages/fanc

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.

Maintainer: Kei Hirose
Author(s): Kei Hirose, Michio Yamamoto, Haruhisa Nagata

License: GPL (>= 2)

Uses: Matrix, ellipse

Released about 2 years ago.


12 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of fanc yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for fanc on google, google scholar, r-help, r-devel.

Visit fanc on R Graphical Manual.