Package: FMCensSkewReg
Title: Finite Mixture of Censored Regression Models with Skewed
        Distributions
Version: 0.1.1
Authors@R: c(
    person("Jiwon", "Park", email = "pcjylove87@gmail.com", role = c("aut", "cre")),
    person("Victor Hugo", "Lachos Davila", email = "hlachos@uconn.edu", role = "aut"),
    person("Dipak", "Dey", email = "dipak.dey@uconn.edu", role = "aut")
  )
Author: Jiwon Park [aut, cre],
  Victor Hugo Lachos Davila [aut],
  Dipak Dey [aut]
Maintainer: Jiwon Park <pcjylove87@gmail.com>
Description: 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>.
License: MIT + file LICENSE
URL: https://github.com/JiwonPark41/FMCensSkewReg
BugReports: https://github.com/JiwonPark41/FMCensSkewReg/issues
Depends: R (>= 3.6.0)
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: stats, mvtnorm, MomTrunc, mnormt, sn, truncdist, mixsmsn
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-12-17 14:21:11 UTC; jiwonpark
Repository: CRAN
Date/Publication: 2025-12-22 18:10:09 UTC
Built: R 4.6.0; ; 2026-04-28 03:29:08 UTC; unix
