imputeLCMD: A Collection of Methods for Left-Censored Missing Data Imputation

A collection of functions for left-censored missing data imputation. Left-censoring is a special case of missing not at random (MNAR) mechanism that generates non-responses in proteomics experiments. The package also contains functions to artificially generate peptide/protein expression data (log-transformed) as random draws from a multivariate Gaussian distribution as well as a function to generate missing data (both randomly and non-randomly). For comparison reasons, the package also contains several wrapper functions for the imputation of non-responses that are missing at random. * New functionality has been added: a hybrid method that allows the imputation of missing values in a more complex scenario where the missing data are both MAR and MNAR.

Version: 2.1
Depends: R (≥ 2.10), tmvtnorm, norm, pcaMethods, impute
Published: 2022-06-10
Author: Cosmin Lazar [aut], Thomas Burger [aut], Samuel Wieczorek [cre, ctb]
Maintainer: Samuel Wieczorek <samuel.wieczorek at cea.fr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: imputeLCMD results

Documentation:

Reference manual: imputeLCMD.pdf

Downloads:

Package source: imputeLCMD_2.1.tar.gz
Windows binaries: r-devel: imputeLCMD_2.1.zip, r-release: imputeLCMD_2.1.zip, r-oldrel: imputeLCMD_2.1.zip
macOS binaries: r-release (arm64): imputeLCMD_2.1.tgz, r-oldrel (arm64): imputeLCMD_2.1.tgz, r-release (x86_64): imputeLCMD_2.1.tgz, r-oldrel (x86_64): imputeLCMD_2.1.tgz
Old sources: imputeLCMD archive

Reverse dependencies:

Reverse imports: DEP, lipidr, MatrixQCvis, rexposome
Reverse suggests: MsCoreUtils, msImpute, MSnbase, QFeatures, qmtools

Linking:

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