Package: missRows
Type: Package
Title: Handling Missing Individuals in Multi-Omics Data Integration
Version: 1.33.0
Date: 2022-01-14
Author: Ignacio Gonzalez and Valentin Voillet
Maintainer: Gonzalez Ignacio <ignacio.gonzalez@bbox.fr>
Description: The missRows package implements the MI-MFA method to deal
        with missing individuals ('biological units') in multi-omics
        data integration. The MI-MFA method generates multiple imputed
        datasets from a Multiple Factor Analysis model, then the yield
        results are combined in a single consensus solution. The
        package provides functions for estimating coordinates of
        individuals and variables, imputing missing individuals, and
        various diagnostic plots to inspect the pattern of missingness
        and visualize the uncertainty due to missing values.
License: Artistic-2.0
Depends: R (>= 3.5), methods, ggplot2, grDevices, MultiAssayExperiment
Imports: plyr, stats, gtools, S4Vectors
VignetteBuilder: knitr
Suggests: BiocStyle, knitr, testthat
biocViews: Software, StatisticalMethod, DimensionReduction,
        PrincipalComponent, MathematicalBiology, Visualization
RoxygenNote: 6.0.1
Config/pak/sysreqs: libicu-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:47:42 UTC
RemoteUrl: https://github.com/bioc/missRows
RemoteRef: HEAD
RemoteSha: 5c5fd6c8940523bcf1511fafe9e7896a5b8a0a1e
NeedsCompilation: no
Packaged: 2026-07-05 01:54:08 UTC; root