bpcp: Beta Product Confidence Procedure for Right Censored Data

Calculates nonparametric pointwise confidence intervals for the survival distribution for right censored data, and for medians [Fay and Brittain <doi:10.1002/sim.6905>]. 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 <doi:10.1111/biom.12231>]. 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.

Version: 1.4.2
Depends: stats, survival, ggplot2, methods
Published: 2022-03-11
Author: Michael P. Fay [aut, cre], Allyson Mateja [ctb]
Maintainer: Michael P. Fay <mfay at niaid.nih.gov>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: bpcp citation info
Materials: NEWS
In views: Survival
CRAN checks: bpcp results


Reference manual: bpcp.pdf
Vignettes: Beta Product Confidence Procedure Confidence Intervals and Discrete Data


Package source: bpcp_1.4.2.tar.gz
Windows binaries: r-devel: bpcp_1.4.2.zip, r-release: bpcp_1.4.2.zip, r-oldrel: bpcp_1.4.2.zip
macOS binaries: r-release (arm64): bpcp_1.4.2.tgz, r-oldrel (arm64): bpcp_1.4.2.tgz, r-release (x86_64): bpcp_1.4.2.tgz, r-oldrel (x86_64): bpcp_1.4.2.tgz
Old sources: bpcp archive

Reverse dependencies:

Reverse depends: asht, nivm


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