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mantar  

Missingness Alleviation for Network Analysis
View on CRAN: Click here


Download and install mantar package within the R console
Install from CRAN:
install.packages("mantar")

Install from Github:
library("remotes")
install_github("cran/mantar")

Install by package version:
library("remotes")
install_version("mantar", "0.2.0")



Attach the package and use:
library("mantar")
Maintained by
Kai Jannik Nehler
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-11
Latest Update: 2025-07-11
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>.
How to cite:
Kai Jannik Nehler (2025). mantar: Missingness Alleviation for Network Analysis. R package version 0.2.0, https://cran.r-project.org/web/packages/mantar. Accessed 06 Jun. 2026.
Previous versions and publish date:
0.1.0 (2025-07-11 14:40), 0.2.0 (2026-01-18 01:30)
Other packages that cited mantar R package
View mantar citation profile
Other R packages that mantar depends, imports, suggests or enhances
Complete documentation for mantar
Functions, R codes and Examples using the mantar R package
Full mantar package functions and examples
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