Finite Mixture of Multivariate Censored/Missing Data R package CensMFM version 3.1 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) 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. Software Imports: MomTrunc (>= 5.87), mvtnorm (>= 1.0.11), gridExtra, ggplot2, tlrmvnmvt (>= 1.1.0) Suggests: mixsmsn Francisco H. C. de Alencar <hildemardealencar@gmail.com> Comprehensive R Archive Network (CRAN) Francisco H. C. de Alencar [aut, cre], Christian E. Galarza [aut], Larissa A. Matos [ctb], Victor H. Lachos [ctb] GPL (>= 2) 2024-05-14 application/tgz https://CRAN.R-project.org/package=CensMFM doi:10.32614/CRAN.package.CensMFM