proportion
2.0.0Inference on Single Binomial Proportion and Bayesian Computations
Overview
Abundant statistical literature has revealed the importance of constructing and evaluating various methods for constructing confidence intervals (CI) for single binomial proportion (p). We comprehensively provide procedures in frequentist (approximate with or without adding pseudo counts or continuity correction or exact) and in Bayesian cultures. Evaluation procedures for CI warrant active computational attention and required summaries pertaining to four criterion (coverage probability, expected length, p-confidence, p-bias, and error) are implemented.
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- Documented parameters
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- Return-value docs
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- References docs
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People & History
4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2022-04-27check issues were not corrected in time length > 1 in && or ||
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 2.0.02017-05-03 · diff ↗
- RR 3.4.0 released · 2017-04-21
- archivedRemoved from CRAN2017-01-04check problems were not corrected despite reminders
- 1.2.32016-08-31 · diff ↗
- RR 3.3.0 released · 2016-05-03
- 1.2.02016-01-17 · diff ↗
- 1.1.02015-12-13
- RR 3.2.0 released · 2015-04-16
Package metadata
- Total releases
- 4
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.2.2
- Download size
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