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-4.5)CensMFM_3.1.zip(r-4.4)CensMFM_3.1.zip(r-4.3)
CensMFM_3.1.tgz(r-4.4-any)CensMFM_3.1.tgz(r-4.3-any)
CensMFM_3.1.tar.gz(r-4.5-noble)CensMFM_3.1.tar.gz(r-4.4-noble)
CensMFM_3.1.tgz(r-4.4-emscripten)CensMFM_3.1.tgz(r-4.3-emscripten)
CensMFM.pdf |CensMFM.html✨
CensMFM/json (API)

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

Peer review:

On CRAN:

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

1.00 score 267 downloads 4 exports 40 dependencies

Last updated 6 months agofrom:869542d263. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-winOKNov 11 2024
R-4.5-linuxOKNov 11 2024
R-4.4-winOKNov 11 2024
R-4.4-macOKNov 11 2024
R-4.3-winOKNov 11 2024
R-4.3-macOKNov 11 2024

Exports:fit.FMMSNCrMMSNrMMSN.contourrMSN

Dependencies:BHclicolorspacecontfracdeSolveellipticfansifarverggplot2gluegridExtragtablehypergeoisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvMomTruncmunsellmvtnormnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadilloRcppEigenrlangscalestibbletlrmvnmvtutf8vctrsviridisLitewithr