imp4p-package: Introduction to the IMP4P package

Description Author(s)

Description

This package provides functions to analyse missing value mechanisms in the context of bottom-up MS-based quantitative proteomics.

It allows estimating a mixture model of missing completely-at-random (MCAR) values and missing not-at-random (MNAR) values.

It also contains functions allowing the imputation of missing values under hypotheses of MCAR and/or MNAR values.

The main functions of this package are the impute.mi (multiple imputation) and impute.mix (imputation based on a decision rule). They can be used to impute matrices containing peptide intensities (as Maxquant outputs for instance). Missing values has to be indicated with NA and a log-2 transformation of the intensities has to be applied before using these functions.

Author(s)

Maintainer: Quentin Giai Gianetto <quentin2g@yahoo.fr>



Search within the imp4p package
Search all R packages, documentation and source code

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.