Package: CensMFM 3.1

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.

Authors:Francisco H. C. de Alencar [aut, cre], Christian E. Galarza [aut], Larissa A. Matos [ctb], Victor H. Lachos [ctb]

CensMFM_3.1.tar.gz
CensMFM_3.1.zip(r-4.7-any)CensMFM_3.1.zip(r-4.6-any)CensMFM_3.1.zip(r-4.5-any)
CensMFM_3.1.tgz(r-4.6-any)CensMFM_3.1.tgz(r-4.5-any)
CensMFM_3.1.tar.gz(r-4.7-any)CensMFM_3.1.tar.gz(r-4.6-any)
CensMFM_3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CensMFM/json (API)

# Install 'CensMFM' in R:
install.packages('CensMFM', repos = c('https://franciscoalencar.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 394 downloads 4 exports 30 dependencies

Last updated from:869542d263. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK162
source / vignettesOK209
linux-releaseOK163
macos-releaseOK167
macos-oldrelOK213
windows-develOK103
windows-releaseOK121
windows-oldrelOK92
wasm-releaseOK116

Exports:fit.FMMSNCrMMSNrMMSN.contourrMSN

Dependencies:BHclicontfraccpp11deSolveellipticfarverggplot2gluegridExtragtablehypergeoisobandlabelinglifecycleMASSMomTruncmvtnormR6RColorBrewerRcppRcppArmadilloRcppEigenrlangS7scalestlrmvnmvtvctrsviridisLitewithr