PEMM: A Penalized EM algorithm incorporating missing-data mechanism
Version 1.0

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.

Getting started

Package details

AuthorLin Chen <lchen@health.bsd.uchicago.edu> and Pei Wang <pwang@fhcrc.org>
Date of publication2014-01-25 00:37:55
MaintainerLin Chen <lchen@health.bsd.uchicago.edu>
LicenseGPL
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("PEMM")

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PEMM documentation built on May 29, 2017, 7:51 p.m.