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dtgiw

1.1.0

Discrete Transmuted Generalized Inverse Weibull Distribution

0packages depend
2.9Kdownloads / year
74.0%test coverage
13/13checks pass

Overview

About
Maintained by Atchanut RattanalertnusornFirst published 2022-03-094 releasesCRAN page ↗

The Discrete Transmuted Generalized Inverse Weibull (DTGIW) distribution is a new distribution for count data analysis. The DTGIW is a discrete distribution based on Atchanut and Sirinapa (2021). <DOI: 10.14456/sjst-psu.2021.149>. In addition, a function for maximum likelihood estimation of the DTGIW distribution is provided.

Install

Health

CRAN checks
13OK
Slowest check: 46 s · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.15
74.0%
Coverage · measured lines
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
86%

Downloads

2.9K
CRAN downloads in the past year
Rank #15,029 · ~8/day · ~243/mo
Daily download trend is not available in this view yet.
15430 days
68090 days
2.9K1 year
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Also on96 r2u5 autocran

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (0)
none
Imports (2)
statsgraphics
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Maintainer, Author
Authors (2)
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 1.1.0Latest
    2026-07-03 · current release · diff ↗
  • 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
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.0
    2022-03-31 · diff ↗
  • 0.1.1
    2022-03-24 · diff ↗
  • 0.1.0
    2022-03-09
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-03-09
Total releases
4 / 4 yrs
License
GPL-3 OSI
Download size
11 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("dtgiw")

CRAN DOI

https://doi.org/10.32614/CRAN.package.dtgiw

BibTeX, derived from DESCRIPTION

@Manual{dtgiw,
  title  = {dtgiw: Discrete Transmuted Generalized Inverse Weibull Distribution},
  author = {Rattanalertnusorn, Atchanut and Aryuyuen, Sirinapa},
  year   = {2026},
  note   = {R package version 1.1.0},
  doi    = {10.32614/CRAN.package.dtgiw},
  url    = {https://CRAN.R-project.org/package=dtgiw}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatorydtgiw,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {dtgiw} version 1.1.0},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/dtgiw},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for dtgiw version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/dtgiw

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for dtgiw version 1.1.0
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/dtgiw
ER  - 

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/dtgiw.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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