Installation | Features | Functionalities | Data Sets | Function Usage | Network Estimation via Neighborhood Selection | Information Criteria | Estimation of Partial Correlation | Type of Correlation | Network Variables | Estimation with Continuous Complete Data | Estimation with Ordered Categorical Complete Data | Calculation of Sample Size | Handling Missing Data | Auxiliary Variables | Estimation with Missing Data | Network Estimation via Regularization | Type of Regularization Penalty and corresponding Parameters | Calculation of Sample Size for Information Criteria | Complete Example Analysis | References
Package: mantar 0.3.0
mantar: Missingness Alleviation for Network Analysis
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.
Authors:
mantar_0.3.0.tar.gz
mantar_0.3.0.zip(r-4.7)mantar_0.3.0.zip(r-4.6)mantar_0.3.0.zip(r-4.5)
mantar_0.3.0.tgz(r-4.6-any)mantar_0.3.0.tgz(r-4.5-any)
mantar_0.3.0.tar.gz(r-4.7-any)mantar_0.3.0.tar.gz(r-4.6-any)
mantar_0.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mantar/json (API)
| # Install 'mantar' in R: |
| install.packages('mantar', repos = c('https://kai-nehler.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kai-nehler/mantar/issues
Datasets:
- mantar_dummy_full_cat - Dummy data sets for illustration purposes in the mantar package
- mantar_dummy_full_cont - Dummy data sets for illustration purposes in the mantar package
- mantar_dummy_full_mix - Dummy data sets for illustration purposes in the mantar package
- mantar_dummy_mis_cat - Dummy data sets for illustration purposes in the mantar package
- mantar_dummy_mis_cont - Dummy data sets for illustration purposes in the mantar package
- mantar_dummy_mis_mix - Dummy data sets for illustration purposes in the mantar package
Last updated from:3b800d68ec. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 181 | ||
| source / vignettes | OK | 231 | ||
| linux-release-x86_64 | OK | 170 | ||
| macos-release-arm64 | OK | 219 | ||
| macos-oldrel-arm64 | OK | 202 | ||
| windows-devel | OK | 125 | ||
| windows-release | OK | 130 | ||
| windows-oldrel | OK | 138 | ||
| wasm-release | OK | 132 |
Exports:cor_calcneighborhood_netordered_suggestregression_optregularization_net
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Correlation Matrix Estimation with Support for Multiple Correlation Types | cor_calc |
| Dummy data sets for illustration purposes in the mantar package | mantar_dummy_data mantar_dummy_full_cat mantar_dummy_full_cont mantar_dummy_full_mix mantar_dummy_mis_cat mantar_dummy_mis_cont mantar_dummy_mis_mix |
| Network Estimation via Neighborhood Selection using Information Criteria | neighborhood_net |
| Heuristic procedure for identifying ordered categorical variables | ordered_suggest |
| Stepwise Multiple Regression Model Search based on Information Criteria | regression_opt |
| Regularized Network Estimation | regularization_net |
