Package: bpcp 1.4.2
Michael P. Fay
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.
Authors:
bpcp_1.4.2.tar.gz
bpcp_1.4.2.tar.gz(r-4.5-noble)bpcp_1.4.2.tar.gz(r-4.4-noble)
bpcp_1.4.2.tgz(r-4.4-emscripten)bpcp_1.4.2.tgz(r-4.3-emscripten)
bpcp.pdf |bpcp.html✨
bpcp/json (API)
NEWS
| # Install 'bpcp' in R: |
| install.packages('bpcp', repos = 'https://cloud.r-project.org') |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:8a4c3eee0e. Checks:3 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 29 2025 |
| R-4.5-linux | OK | Mar 29 2025 |
| R-4.4-linux | OK | Mar 29 2025 |
Exports:abmmbetaMeldTestbetaMeldTestMidp.mcborkowf.calcbpcpbpcp.mcbpcp.mmbpcp2sampbpcp2sampControlbpcpControlbpcpfitbpcpMidp.mmcitoLRfixtdiffgetmarksgetmarks.xintCharkmci1TGkmciBorkowfkmcilogkmciSWkmciTGkmConstrainkmConstrainBeta.calckmgw.calckmtestALLkmtestConstrainBetakmtestConstrainBootmdiffmedian.testmeldMCqqbetarejectFromIntStCItidykmciLRuvab
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalessurvivaltibbleutf8vctrsviridisLitewithr
Citation
To cite bpcp in publications use:
To reference the original paper that developed the first version (monotonic=FALSE, midp=FALSE) of the one sample BPCP (this is mostly for referencing the mathematics, not a for referencing a routine application) cite:
Fay MP, Brittain, EH, Proschan, MA (2013). Pointwise confidence intervals for a survival distribution with small samples or heavy censoring. Biostatistics 14(4) 723-736.
For one sample confidence intervals using current BPCP versions cite:
Fay MP, Brittain, EH (2016). Finite sample pointwise confidence intervals for a survival distribution with right-censored data. Statistics in Medicine. 35:2726-2740.
For inferences on differences in two survival distributions or differences in medians cite:
Fay MP, Proschan, MA, Brittain, E, (2015). Combining one sample confience procedures for inference in the two sample case. Biometrics 71:146-156
Corresponding BibTeX entries:
@Article{,
title = {Pointwise confidence intervals for a survival distribution
with small samples or heavy censoring},
author = {Michael P. Fay and Erica H. Brittain and Michael A.
Proschan},
journal = {Biostatistics},
year = {2013},
volume = {14},
number = {4},
pages = {723-736},
url = {https://www.niaid.nih.gov/about/brb-staff-fay},
}
@Article{,
title = {Finite sample pointwise confidence intervals for a
survival distribution with right-censored data},
author = {Michael P. Fay and Erica H. Brittain},
journal = {Statistics in Medicine},
year = {2016},
url = {https://www.niaid.nih.gov/about/brb-staff-fay},
}
@Article{,
title = {Combining one sample confience procedures for inference in
the two sample case},
author = {Michael P. Fay and Michael A. Proschan and Erica H.
Brittain},
journal = {Biometrics},
year = {2015},
url = {https://www.niaid.nih.gov/about/brb-staff-fay},
volume = {71},
pages = {146-156},
}