PEMM: A Penalized EM algorithm incorporating missing-data mechanism

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.

Version: 1.0
Published: 2014-01-25
Author: Lin Chen and Pei Wang
Maintainer: Lin Chen <lchen at health.bsd.uchicago.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: PEMM results

Downloads:

Reference manual: PEMM.pdf
Package source: PEMM_1.0.tar.gz
Windows binaries: r-devel: PEMM_1.0.zip, r-release: PEMM_1.0.zip, r-oldrel: PEMM_1.0.zip
OS X El Capitan binaries: r-release: PEMM_1.0.tgz
OS X Mavericks binaries: r-oldrel: PEMM_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PEMM to link to this page.