FMCensSkewReg: Finite Mixture of Censored Regression Models with Skewed Distributions

Provides an implementation of finite mixture regression models for censored data under four distributional families: Normal (FM-NCR), Student t (FM-TCR), skew-Normal (FM-SNCR), and skew-t (FM-STCR). The package enables flexible modeling of skewness and heavy tails often observed in real-world data, while explicitly accounting for censoring. Functions are included for parameter estimation via the Expectation-Maximization (EM) algorithm, computation of standard errors, and model comparison criteria such as the Akaike Information Criterion (AIC), the Bayesian Information Criterion (BIC), and the Efficient Determination Criterion (EDC). The underlying methodology is described in Park et al. (2024) <doi:10.1007/s00180-024-01459-4>.

Version:	0.1.1
Depends:	R (≥ 3.6.0)
Imports:	stats, mvtnorm, MomTrunc, mnormt, sn, truncdist, mixsmsn
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2025-12-22
DOI:	10.32614/CRAN.package.FMCensSkewReg
Author:	Jiwon Park [aut, cre], Victor Hugo Lachos Davila [aut], Dipak Dey [aut]
Maintainer:	Jiwon Park <pcjylove87 at gmail.com>
BugReports:	https://github.com/JiwonPark41/FMCensSkewReg/issues
License:	MIT + file LICENSE
URL:	https://github.com/JiwonPark41/FMCensSkewReg
NeedsCompilation:	no
Citation:	FMCensSkewReg citation info
Materials:	README
CRAN checks:	FMCensSkewReg results

Documentation:

Reference manual:

FMCensSkewReg.html , FMCensSkewReg.pdf

Downloads:

Package source:	FMCensSkewReg_0.1.1.tar.gz
Windows binaries:	r-devel: FMCensSkewReg_0.1.1.zip, r-release: FMCensSkewReg_0.1.1.zip, r-oldrel: FMCensSkewReg_0.1.1.zip
macOS binaries:	r-release (arm64): FMCensSkewReg_0.1.1.tgz, r-oldrel (arm64): FMCensSkewReg_0.1.1.tgz, r-release (x86_64): FMCensSkewReg_0.1.1.tgz, r-oldrel (x86_64): FMCensSkewReg_0.1.1.tgz

Linking:

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