The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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.

Version: 3.1
Imports: MomTrunc (≥ 5.87), mvtnorm (≥ 1.0.11), gridExtra, ggplot2, tlrmvnmvt (≥ 1.1.0)
Suggests: mixsmsn
Published: 2024-05-14
DOI: 10.32614/CRAN.package.CensMFM
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 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
In views: MissingData
CRAN checks: CensMFM results

Documentation:

Reference manual: CensMFM.pdf

Downloads:

Package source: CensMFM_3.1.tar.gz
Windows binaries: r-devel: CensMFM_3.1.zip, r-release: CensMFM_3.1.zip, r-oldrel: CensMFM_3.1.zip
macOS binaries: r-release (arm64): CensMFM_3.1.tgz, r-oldrel (arm64): CensMFM_3.1.tgz, r-release (x86_64): CensMFM_3.1.tgz, r-oldrel (x86_64): CensMFM_3.1.tgz
Old sources: CensMFM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CensMFM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.