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 (may not be active yet) |
| 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:
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