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bpcp  

Beta Product Confidence Procedure for Right Censored Data
View on CRAN: Click here


Download and install bpcp package within the R console
Install from CRAN:
install.packages("bpcp")

Install from Github:
library("remotes")
install_github("cran/bpcp")

Install by package version:
library("remotes")
install_version("bpcp", "1.4.2")



Attach the package and use:
library("bpcp")
Maintained by
Michael P. Fay
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-06-29
Latest Update: 2022-03-11
Description:
Calculates nonparametric pointwise confidence intervals for the survival distribution for right censored data, and for medians [Fay and Brittain ]. Has two-sample tests for dissimilarity (e.g., difference, ratio or odds ratio) in survival at a fixed time, and differences in medians [Fay, Proschan, and Brittain ]. Basically, the package gives exact inference methods for one- and two-sample exact inferences for Kaplan-Meier curves (e.g., generalizing Fisher's exact test to allow for right censoring), which are especially important for latter parts of the survival curve, small sample sizes or heavily censored data. Includes mid-p options.
How to cite:
Michael P. Fay (2012). bpcp: Beta Product Confidence Procedure for Right Censored Data. R package version 1.4.2, https://cran.r-project.org/web/packages/bpcp. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-07-22 22:30), 0.5.0 (2012-06-29 14:53), 1.0.0 (2013-06-05 20:58), 1.1.0 (2014-04-30 22:25), 1.2.4 (2014-11-22 01:53), 1.2.5 (2015-06-05 01:07), 1.2.6 (2015-07-03 00:11), 1.3.0 (2016-01-19 23:48), 1.3.1 (2016-01-20 15:38), 1.3.2 (2016-03-28 16:51), 1.3.3 (2016-05-04 09:00), 1.3.4 (2016-06-14 15:22), 1.4.2 (2022-03-12 00:10), 1.4 (2019-12-07 02:20), 1.5.1 (2026-02-19 07:10), 1.5.4 (2026-07-21 13:20)
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