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MNARclust  

Clustering Data with Non-Ignorable Missingness using Semi-Parametric Mixture Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MNARclust", "1.1.0")



Attach the package and use:
library("MNARclust")
Maintained by
Matthieu Marbac
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-16
Latest Update: 2021-12-02
Description:
Clustering of data under a non-ignorable missingness mechanism. Clustering is achieved by a semi-parametric mixture model and missingness is managed by using the pattern-mixture approach. More details of the approach are available in Du Roy de Chaumaray et al. (2020) .
How to cite:
Matthieu Marbac (2021). MNARclust: Clustering Data with Non-Ignorable Missingness using Semi-Parametric Mixture Models. R package version 1.1.0, https://cran.r-project.org/web/packages/MNARclust. Accessed 18 Sep. 2026.
Previous versions and publish date:
1.0.0 (2021-07-16 11:20), (2026-07-09 08:09)
Other packages that cited MNARclust R package
View MNARclust citation profile
Other R packages that MNARclust depends, imports, suggests or enhances
Complete documentation for MNARclust
Functions, R codes and Examples using the MNARclust R package
Some associated functions: MNARclust-package . MNARcluster . echo . rMNAR . 
Some associated R codes: MNARclust.R . RcppExports.R . algoCat.R . algoCont.R . algoMixed.R . sampler.R . tools.R .  Full MNARclust package functions and examples
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