Package: FMsmsnReg 1.0

FMsmsnReg: Regression Models with Finite Mixtures of Skew Heavy-Tailed Errors

Fit linear regression models where the random errors follow a finite mixture of of Skew Heavy-Tailed Errors.

Authors:Luis Benites Sanchez and Rocio Paola Maehara and Victor Hugo Lachos

FMsmsnReg_1.0.tar.gz
FMsmsnReg_1.0.zip(r-4.5)FMsmsnReg_1.0.zip(r-4.4)FMsmsnReg_1.0.zip(r-4.3)
FMsmsnReg_1.0.tgz(r-4.5-any)FMsmsnReg_1.0.tgz(r-4.4-any)FMsmsnReg_1.0.tgz(r-4.3-any)
FMsmsnReg_1.0.tar.gz(r-4.5-noble)FMsmsnReg_1.0.tar.gz(r-4.4-noble)
FMsmsnReg_1.0.tgz(r-4.4-emscripten)FMsmsnReg_1.0.tgz(r-4.3-emscripten)
FMsmsnReg.pdf |FMsmsnReg.html✨
FMsmsnReg/json (API)

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

Peer review:

Bug tracker:https://github.com/lbenitesanchez/fmsmsnreg/issues

Datasets:
  • ais - Australian institute of sport data
  • horses - Horse Racing at Eagle Farm data

On CRAN:

3.18 score 3 stars 9 scripts 215 downloads 1 exports 1 dependencies

Last updated 8 years agofrom:ad304f7524. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 03 2025
R-4.5-winOKFeb 03 2025
R-4.5-macOKFeb 03 2025
R-4.5-linuxOKFeb 03 2025
R-4.4-winOKFeb 03 2025
R-4.4-macOKFeb 03 2025
R-4.3-winOKFeb 03 2025
R-4.3-macOKFeb 03 2025

Exports:FMsmsnReg

Dependencies:mvtnorm