CensMFM v1.5

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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.

Functions in CensMFM

Name Description
fit.FMMSNC Fitting Finite Mixture of Multivariate Distributions.
rMSN Generating from Multivariate Skew-normal and Normal Random Distributions.
rMMSN.contour Pairwise Scatter Plots and Histograms for Finite Mixture of Multivariate Distributions.
CensMFM-package CensMFM
rMMSN Random Generator of Finite Mixture of Multivariate Distributions.
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Details

Type Package
Date 2019-10-14
License GPL (>= 2)
Encoding UTF-8
LazyData true
NeedsCompilation no
Packaged 2019-10-23 19:40:27 UTC; hildemar
Repository CRAN
Date/Publication 2019-10-23 20:10:15 UTC

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