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mantar: Missingness Alleviation for Network Analysis

Provides functionality for estimating cross-sectional network structures representing partial correlations in R, while accounting for missing values in the data. Networks are estimated via neighborhood selection, i.e., node-wise multiple regression, with model selection guided by information criteria. Missing data can be handled primarily via multiple imputation or a maximum likelihood-based approach; deletion techniques are available but secondary <doi:10.31234/osf.io/qpj35>.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: stats
Suggests: mice, lavaan, qgraph, testthat (≥ 3.0.0)
Published: 2025-07-11
DOI: 10.32614/CRAN.package.mantar
Author: Kai Jannik Nehler ORCID iD [aut, cre]
Maintainer: Kai Jannik Nehler <nehler at psych.uni-frankfurt.de>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README
CRAN checks: mantar results

Documentation:

Reference manual: mantar.pdf

Downloads:

Package source: mantar_0.1.0.tar.gz
Windows binaries: r-devel: mantar_0.1.0.zip, r-release: mantar_0.1.0.zip, r-oldrel: mantar_0.1.0.zip
macOS binaries: r-release (arm64): mantar_0.1.0.tgz, r-oldrel (arm64): mantar_0.1.0.tgz, r-release (x86_64): mantar_0.1.0.tgz, r-oldrel (x86_64): mantar_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.