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 
[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: not available, r-release: mantar_0.1.0.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
Linking:
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