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BDWreg

1.3.0Package record

Bayesian Inference for Discrete Weibull Regression

0packages depend
2.9Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

A Bayesian regression model for discrete response, where the conditional distribution is modelled via a discrete Weibull distribution. This package provides an implementation of Metropolis-Hastings and Reversible-Jumps algorithms to draw samples from the posterior. It covers a wide range of regularizations through any two parameter prior. Examples are Laplace (Lasso), Gaussian (ridge), Uniform, Cauchy and customized priors like a mixture of priors. An extensive visual toolbox is included to check the validity of the results as well as several measures of goodness-of-fit.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Hamed Haselimashhadi <hamedhaseli@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Hamed",
                    family = "Haselimashhadi",
                    role = c("aut", "cre"),
                    email = "hamedhaseli@gmail.com")
as necessary.

CRAN check page ↗

Slowest check: 2.0 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.3.0
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
4
Examples that run
75%3 run in a plain check · 1 never run
Exported functions with examples
100%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
100%

Downloads

2.9K
CRAN downloads in the past year
Rank #13,383 · ~8/day · ~241/mo
Daily download trend is not available in this view yet.
27430 days
87390 days
2.9K1 year
Compare downloads with other packages →
Also on127 r2u20 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing BDWreg adds 23 packages (7 with compiled code, 11 MB of source tarballs). Heaviest: Ecdat 2.8 MB, Rcpp 1.8 MB, sandwich 1.4 MB.

Depends (1)
R >= 3.0
Imports (10)
codaparallelforeachdoParallelMASSmethodsgraphicsstatsutilsDWreg
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (from the free-text Author field) (1)

Maintainer since 1.0.0 (2016)

Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.3.0Latest
    record
    2024-01-29 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 1.2.0
    record
    2017-02-17 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 1.0.0
    record
    2016-01-12
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2016-01-12
Total releases
3 / 10 yrs
License
LGPL (>= 2) OSI
Minimum R
≥ 3.0
Download size
20 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BDWreg")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BDWreg version 1.3.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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