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.

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

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

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

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