rsggm: Robust Sparse Gaussian Graphical Modeling via the Gamma-Divergence
Version 0.3

Robust estimation of sparse inverse covariance matrix via the gamma-divergence.

AuthorKei Hirose
Date of publication2015-08-21 15:53:12
MaintainerKei Hirose <mail@keihirose.com>
LicenseGPL (>= 2)
Version0.3
URL http://www.keihirose.com
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("rsggm")

Popular man pages

out: out (Output parameters for specific gamma and lambda)
rsggm: rsggm (Robust Sparse Gaussian Graphical Modeling via the...
See all...

All man pages Function index File listing

Man pages

out: out (Output parameters for specific gamma and lambda)
rsggm: rsggm (Robust Sparse Gaussian Graphical Modeling via the...

Functions

out Man page Source code
print.rsggm Source code
rsggm Man page Source code
rsggm.generator Man page Source code
set.initial Source code

Files

NAMESPACE
R
R/rsggm.R
MD5
DESCRIPTION
man
man/out.Rd
man/rsggm.Rd
rsggm documentation built on May 19, 2017, 6:31 p.m.

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