mi4p: Multiple Imputation for Proteomics

A framework for multiple imputation for proteomics is proposed by Marie Chion, Christine Carapito and Frederic Bertrand (2021) <doi:10.48550/arXiv.2108.07086>. It is dedicated to dealing with multiple imputation for proteomics.

Version: 1.1
Depends: R (≥ 3.5.0)
Imports: emmeans, foreach, imp4p, impute, limma, mice, stringr
Suggests: Biobase, knitr, R.rsp, markdown, prettydoc, rmarkdown, DAPAR, ProteoMM
Published: 2023-03-23
Author: Marie Chion ORCID iD [aut], Christine Carapito ORCID iD [aut], Frederic Bertrand ORCID iD [cre, aut], Gordon Smyth [ctb], Davis McCarthy [ctb], Hélène Borges [ctb], Thomas Burger [ctb], Quentin Giai-Gianetto [ctb], Samuel Wieczorek [ctb]
Maintainer: Frederic Bertrand <frederic.bertrand at utt.fr>
Contact: Marie Chion <marie.chion@protonmail.fr>, Frederic Bertrand <frederic.bertrand@utt.fr>
BugReports: https://github.com/mariechion/mi4p/issues/
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: See the file COPYRIGHTS
mi4p copyright details
URL: https://mariechion.github.io/mi4p/, https://github.com/mariechion/mi4p/
NeedsCompilation: no
Classification/MSC: 62J05, 62J07, 62J99, 92C42
Citation: mi4p citation info
Materials: README NEWS
In views: MissingData, Omics
CRAN checks: mi4p results

Documentation:

Reference manual: mi4p.pdf
Vignettes: Multiple imputation for proteomics

Downloads:

Package source: mi4p_1.1.tar.gz
Windows binaries: r-devel: mi4p_1.1.zip, r-release: mi4p_1.1.zip, r-oldrel: mi4p_1.1.zip
macOS binaries: r-release (arm64): mi4p_1.1.tgz, r-oldrel (arm64): mi4p_1.1.tgz, r-release (x86_64): mi4p_1.1.tgz
Old sources: mi4p archive

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