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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) <arXiv:2009.07662>.
Getting started
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Package details |
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| Author | Marie Du Roy de Chaumaray [aut], Matthieu Marbac [aut, cre, cph] |
| Maintainer | Matthieu Marbac <matthieu.marbac-lourdelle@ensai.fr> |
| License | GPL (>= 2) |
| Version | 1.1.0 |
| URL | https://arxiv.org/abs/2009.07662 |
| Package repository | View on CRAN |
| Installation |
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