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.
- Version3.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release05/14/2024
Documentation
Team
Francisco H. C. de Alencar
Christian E. Galarza
Show author detailsRolesAuthorLarissa A. Matos
Victor H. Lachos
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports5 packages
- Suggests1 package