Package: BayesCR 2.1

Aldo M. Garay

BayesCR: Bayesian Analysis of Censored Regression Models Under Scale Mixture of Skew Normal Distributions

Propose a parametric fit for censored linear regression models based on SMSN distributions, from a Bayesian perspective. Also, generates SMSN random variables.

Authors:Aldo M. Garay <[email protected]>, Monique B. Massuia <[email protected]>, Victor H. Lachos <[email protected]>, Eraldo B. Anjos Filho <[email protected]>

BayesCR_2.1.tar.gz
BayesCR_2.1.tar.gz(r-4.5-noble)BayesCR_2.1.tar.gz(r-4.4-noble)
BayesCR_2.1.tgz(r-4.4-emscripten)BayesCR_2.1.tgz(r-4.3-emscripten)
BayesCR.pdf |BayesCR.html
BayesCR/json (API)

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

Peer review:

Datasets:
  • motorettes - Accelerated Life Tests On Electrical Insulation

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

1.00 score 1 scripts 230 downloads 2 exports 5 dependencies

Last updated 7 years agofrom:952bd134e3. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linuxOKOct 31 2024

Exports:Bayes.CRrSMSN

Dependencies:evdmnormtmvtnormrootSolvetruncdist