Prediction Limits for Poisson Distribution
Overview
Prediction limits for the Poisson distribution are produced from both frequentist and Bayesian viewpoints. Limiting results are provided in a Bayesian setting with uniform, Jeffreys and gamma as prior distributions. More details on the methodology are discussed in Bejleri and Nandram (2018) doi:10.1080/03610926.2017.1373814 and Bejleri, Sartore and Nandram (2021) doi:10.1007/s42952-021-00157-x.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 6includes a package overview page
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 100%
Downloads
Dependencies
Installing plpoisson adds no packages beyond those that come with R.
Code & Tests
People & History
Package metadata
- First published
- 2020-06-04
- Total releases
- 4 / 6 yrs
- License
- GPL-3 OSI
- Download size
- 47 KB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("plpoisson")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.