MNARclust
Clustering Data with Non-Ignorable Missingness using Semi-Parametric Mixture Models
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)
- Version1.1.0
- R version≥ 3.5
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release12/02/2021
Team
Matthieu Marbac
Marie Du Roy de Chaumaray
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- Depends1 package
- Imports4 packages
- Linking To2 packages