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CensMFM: Finite Mixture of Multivariate Censored/Missing Data
It fits finite mixture models for censored or/and missing data using several multivariate distributions. Point estimation and asymptotic inference (via empirical information matrix) are offered as well as censored data generation. Pairwise scatter and contour plots can be generated. Possible multivariate distributions are the well-known normal, Student-t and skew-normal distributions. This package is an complement of Lachos, V. H., Moreno, E. J. L., Chen, K. & Cabral, C. R. B. (2017) <doi:10.1016/j.jmva.2017.05.005> for the multivariate skew-normal case.
Getting started
Browse package contents
Package details |
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| Author | Francisco H. C. de Alencar [aut, cre], Christian E. Galarza [aut], Larissa A. Matos [ctb], Victor H. Lachos [ctb] |
| Maintainer | Francisco H. C. de Alencar <hildemardealencar@gmail.com> |
| License | GPL (>= 2) |
| Version | 3.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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