sparseSEM: Sparse-aware Maximum Likelihood for Structural Equation Models
Version 2.5

Sparse-aware maximum likelihood for structural equation models in inferring gene regulatory networks

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AuthorAnhui Huang
Date of publication2014-09-04 07:49:26
MaintainerAnhui Huang <a.huang1@umiami.edu>
LicenseGPL
Version2.5
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("sparseSEM")

Man pages

B: True network edges
elasticNetSML: The Elastic Net penalty for SEM
elasticNetSMLcv: The Elastic Net penalty for SEM with user supplied alphas and...
elasticNetSMLpoint: The Elastic Net penalty for SEM
lassoSML: The Lasso penalty for SML
Missing: Missing gene expression data
sparseSEM-package: sparseSEM: Sparse-aware Maximum Likelihood for Structural...
X: Genotype matrix
Y: Gene expression matrix

Functions

B Man page
Missing Man page
X Man page
Y Man page
elasticNetSML Man page Source code
elasticNetSMLcv Man page Source code
elasticNetSMLpoint Man page Source code
lassoSML Man page Source code
sparseSEM Man page
sparseSEM-package Man page

Files

src
src/Makevars
src/lassoSMLv10beta.c
NAMESPACE
data
data/Missing.rda
data/X.rda
data/B.rda
data/Y.rda
R
R/elasticNetSMLpoint.R
R/lassoSML.R
R/elasticNetSML.R
R/elasticNetSMLcv.R
MD5
DESCRIPTION
man
man/lassoSML.Rd
man/elasticNetSMLcv.Rd
man/elasticNetSMLpoint.Rd
man/Missing.Rd
man/B.Rd
man/X.Rd
man/Y.Rd
man/elasticNetSML.Rd
man/sparseSEM-package.Rd
sparseSEM documentation built on May 19, 2017, 6:47 p.m.