An Empirical Model for Underdispersed Count Data
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Overview
About
Maintained by Philipp Boersch-SupanCRAN page ↗
Count regression models for underdispersed small counts (lambda < 20) based on the three-parameter exponentially weighted Poisson distribution of Ridout & Besbeas (2004) DOI:10.1191/1471082X04st064oa.
Changes in 0.1.2
- Added a
mmeanfunction to estimate covariate effects on the mean. - Added capability to use user-specified starting values in
ewp_regfunction.
From NEWS.md in the release
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Health
CRAN checks
13OK
Slowest check: 3.1 min · r-devel-windows-x86_64
Status changes
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-22
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Advisories
Documentation
In release 0.1.2
READMEYes · 303 wordsVignettesNoNEWSYes · 100% structured · mentions 0.1.2Citation fileNoWebsitenot declared in DESCRIPTION
- Help pages
- 15
- Examples that run
- no examples
- Exported functions with examples
- 0%
- Documented parameters
- 97%
- Return-value docs
- 100%
- Help pages citing references
- 0%
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People (2)
Author, Maintainer since 0.1.1 (2024)
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- RR 4.6.0 released · 2026-04-24
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- RR 4.5.0 released · 2025-04-11
- 0.1.12024-06-26
- RR 4.4.0 released · 2024-04-24
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Package metadata
- First published
- 2024-06-26
- Total releases
- 2 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 82 KB / 1 file
- Download size
- 136 KB
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