Package: mantar
Title: Missingness Alleviation for Network Analysis
Version: 0.1.0
Authors@R: 
    person("Kai Jannik", "Nehler", , "nehler@psych.uni-frankfurt.de", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-3764-761X"))
Description: 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>.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: stats
Suggests: mice, lavaan, qgraph, testthat (>= 3.0.0)
LazyData: true
Encoding: UTF-8
RoxygenNote: 7.3.2
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-07-07 20:20:27 UTC; nehler
Author: Kai Jannik Nehler [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-3764-761X>)
Maintainer: Kai Jannik Nehler <nehler@psych.uni-frankfurt.de>
Repository: CRAN
Date/Publication: 2025-07-11 12:40:02 UTC
Built: R 4.4.1; ; 2025-07-14 22:48:35 UTC; unix
