Package: mantar
Title: Missingness Alleviation for Network Analysis
Version: 0.3.0
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 while
        accounting for missing data. Networks are estimated via
        neighborhood selection or regularization, with model selection
        guided by information criteria. Missing data can be handled
        primarily via multiple imputation or a maximum likelihood-based
        approach, as demonstrated by Nehler and Schultze (2025)
        <doi:10.1080/00273171.2025.2503833> and Nehler and Schultze
        (2026) <doi:10.1037/met0000828>. Deletion-based approaches are
        also available but play a secondary role.
License: GPL (>= 3)
Depends: R (>= 4.1.0)
Imports: Rdpack, mathjaxr, stats, Matrix, glassoFast
Suggests: numDeriv, mice, lavaan, qgraph, testthat (>= 3.0.0), knitr,
        rmarkdown
LazyData: true
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
RdMacros: Rdpack, mathjaxr
Config/testthat/edition: 3
URL: https://github.com/kai-nehler/mantar
BugReports: https://github.com/kai-nehler/mantar/issues
VignetteBuilder: knitr
Repository: https://kai-nehler.r-universe.dev
Date/Publication: 2026-05-26 14:46:06 UTC
RemoteUrl: https://github.com/kai-nehler/mantar
RemoteRef: HEAD
RemoteSha: 3b800d68ec2877bd1140471a04ff1b8c1447aca8
NeedsCompilation: no
Packaged: 2026-05-26 15:52:19 UTC; root
Author: Kai Jannik Nehler [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-3764-761X>)
Maintainer: Kai Jannik Nehler <nehler@psych.uni-frankfurt.de>