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.
|Author||Lin Chen <email@example.com> and Pei Wang <firstname.lastname@example.org>|
|Date of publication||2014-01-25 00:37:55|
|Maintainer||Lin Chen <email@example.com>|
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