Package: PEMM
Type: Package
Title: A Penalized EM algorithm incorporating missing-data mechanism
Version: 1.0
Date: 2013-11-12
Author: Lin Chen <lchen@health.bsd.uchicago.edu> and Pei Wang <pwang@fhcrc.org>
Maintainer: Lin Chen <lchen@health.bsd.uchicago.edu>
Description: This package provides functions to perform multivariate Gaussian parameter estimation based on data with abundance-dependent missingness. It implements a penalized Expectation-Maximization (EM) algorithm. The package is tailored for but not limited to proteomics data applications, in which a large proportion of the data are often missing-not-at-random with lower values (or absolute values) more likely to be missing.
License: GPL
LazyLoad: yes
Packaged: 2014-01-24 21:56:26 UTC; lche2
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-01-25 00:37:55
Built: R 3.1.0; ; 2014-01-25 11:49:38 UTC; unix
