Package: bbreg 2.0.2
Vinicius Mayrink
bbreg: Bessel and Beta Regressions via Expectation-Maximization Algorithm for Continuous Bounded Data
Functions to fit, via Expectation-Maximization (EM) algorithm, the Bessel and Beta regressions to a data set with a bounded continuous response variable. The Bessel regression is a new and robust approach proposed in the literature. The EM version for the well known Beta regression is another major contribution of this package. See details in the references Barreto-Souza, Mayrink and Simas (2022) <doi:10.1111/anzs.12354> and Barreto-Souza, Mayrink and Simas (2020) <arxiv:2003.05157>.
Authors:
bbreg_2.0.2.tar.gz
bbreg_2.0.2.tar.gz(r-4.5-noble)bbreg_2.0.2.tar.gz(r-4.4-noble)
bbreg_2.0.2.tgz(r-4.4-emscripten)bbreg_2.0.2.tgz(r-4.3-emscripten)
bbreg.pdf |bbreg.html✨
bbreg/json (API)
# Install 'bbreg' in R: |
install.packages('bbreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:cb22d2d4a7. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 27 2024 |
R-4.5-linux | NOTE | Oct 27 2024 |