| binomCI-package {binomCI} | R Documentation |
Confidence Intervals for a Binomial Proportion.
Description
Functions to compute 12 confidence intervals for a binomial proportion.
Details
| Package: | binomCI |
| Type: | Package |
| Version: | 1.1 |
| Date: | 2023-10-02 |
| License: | GPL-2 |
Maintainers
Michail Tsagris mtsagris@uoc.gr.
Note
I would like to express my acknowledgements to Marc Girondot for spotting an error in the "Wilson" method in two extreme cases, when x=1 and when n-x=1. He also proposed a modification that exists in the package "Hmisc" and the relevant paper to cite is Agresti & Coull (1998).
Author(s)
Michail Tsagris mtsagris@uoc.gr.
References
Agresti, A. & Caffo, B. (2000). Simple and effective confidence intervals for proportions and differences of proportions result from adding two successes and two failures. The American Statistician, 54(4), 280–288.
Agresti, A. & Coull, B. A. (1998). Approximate is better than "exact" for interval estimation of binomial proportions. The American Statistician, 52(2): 119–126.
Brown, L. D., Cai, T. T. & DasGupta, A. (2001). Interval estimation for a binomial proportion. Statistical Science, 16(2): 101-133.
Brown, L. D., Cai, T. T. & DasGupta, A. (2002). Confidence intervals for a binomial proportion and asymptotic expansions. The Annals of Statistics, 30(1): 160-201.
Cameron, E. (2011). On the estimation of confidence intervals for binomial population proportions in astronomy: the simplicity and superiority of the Bayesian approach. Publications of the Astronomical Society of Australia, 28(2): 128–139.
Newcombe, R. G. (1998). Two-sided confidence intervals for the single proportion: comparison of seven methods. Statistics in Medicine, 17(8): 857–872.
Pan, W. (2002). Approximate confidence intervals for one proportion and difference of two proportions. Computational statistics & Data Analysis, 40(1): 143-157.
Pires, A. M. & Amado, C. (2008). Interval estimators for a binomial proportion: Comparison of twenty methods. REVSTAT-Statistical Journal, 6(2): 165-197.
Ranucci, G. (2009). Binomial and ratio-of-Poisson-means frequentist confidence intervals applied to the error evaluation of cut efficiencies. arXiv preprint arXiv:0901.4845.
Sauro, J. & Lewis, J. R. (2005, September). Estimating completion rates from small samples using binomial confidence intervals: comparisons and recommendations. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 49, No. 24, pp. 2100-2103). Sage CA: Los Angeles, CA: SAGE Publications.
Somerville, M. C. & Brown, R. S. (2013). Exact likelihood ratio and score confidence intervals for the binomial proportion. Pharmaceutical Statistics, 12(3): 120-128.
Thulin, Mans. The cost of using exact confidence intervals for a binomial proportion. (2014): 817-840. Electronic Journal of Statistics 8(1): 817-840.
Vollset, S. E. (1993). Confidence intervals for a binomial proportion. Statistics in Medicine, 12(9): 809-824.