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:Michael P. Fay [aut, cre], Allyson Mateja [ctb]

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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • leuk - Acute Leukemia data (treatment only) from Freireich et al (1963).
  • leuk2 - Acute Leukemia data from Freireich et al (1963).
  • sclerosis - Pilot study of treatment of severe systemic sclerosis (Nash, et al, 2007).

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.60 score 3 packages 32 scripts 1.4k downloads 35 exports 29 dependencies

Last updated 3 years agofrom:8a4c3eee0e. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-linuxOKNov 29 2024

Exports:abmmbetaMeldTestbetaMeldTestMidp.mcborkowf.calcbpcpbpcp.mcbpcp.mmbpcp2sampbpcp2sampControlbpcpControlbpcpfitbpcpMidp.mmcitoLRfixtdiffgetmarksgetmarks.xintCharkmci1TGkmciBorkowfkmcilogkmciSWkmciTGkmConstrainkmConstrainBeta.calckmgw.calckmtestALLkmtestConstrainBetakmtestConstrainBootmdiffmedian.testmeldMCqqbetarejectFromIntStCItidykmciLRuvab

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalessurvivaltibbleutf8vctrsviridisLitewithr

Beta Product Confidence Procedure Confidence Intervals and Discrete Data

Rendered fromdiscreteBPCP.Rnwusingutils::Sweaveon Nov 29 2024.

Last update: 2016-03-28
Started: 2016-01-19

Readme and manuals

Help Manual

Help pageTopics
Pointwise Confidence Intervals Associated with the Survival Distribution for Right Censored Databpcp-package
Melded Beta TestbetaMeldTest
Melded BPCP testbpcp2samp
Control function for 'bpcp2samp'bpcp2sampControl
Inputs for adjusting numerical calculations in 'bpcp'bpcpControl
Two sample test for Difference in Survival at Fixed Timefixtdiff
Kaplan-Meier (Survival Curve) Confidence Interval Objectkmci kmci.object
Kaplan-Meier (Survival Curve) Confidence Interval LR Tidy ObjectkmciLR kmciLR.object
Kaplan-Meier (Survival Curve) Confidence Interval LR Group ObjectkmciLRgroup kmciLRgroup.object
Kaplan-Meier (Survival Curve) Confidence Interval LR Tidy ObjectkmciLRtidy kmciLRtidy.object
Pointwise confidence intervals for survival for right censored data.bpcp bpcpfit bpcpfit.default bpcpfit.formula kmci1TG kmciBorkowf kmciSW kmciTG kmtestALL kmtestBoot kmtestConstrainBeta kmtestConstrainBoot
Acute Leukemia data (treatment only) from Freireich et al (1963).leuk
Acute Leukemia data from Freireich et al (1963).leuk2
Melded Difference in Medians Testmdiffmedian.test
Plot and lines methods for 'kmci', 'kmciLR', 'kmciLRtidy', and 'kmciLRgroup' objects.lines.kmci lines.kmciLR plot.kmci plot.kmciLR plot.kmciLRgroup plot.kmciLRtidy
Print A Short Summary of a kmciLRtidy, kmciLRgroup, or kmciLR Objectprint.kmciLR print.kmciLRgroup print.kmciLRtidy
Quantiles or Medians from 'kmci', 'kmciLR', 'kmciLRtidy', or 'kmciLRgroup' objects.median.kmci median.kmciLR median.kmciLRgroup median.kmciLRtidy quantile.kmci quantile.kmciLR quantile.kmciLRgroup quantile.kmciLRtidy
Pilot study of treatment of severe systemic sclerosis (Nash, et al, 2007).sclerosis
Get survival and confidence interval at t from 'kmci', 'kmciLR', or 'survfit' objectStCI StCI.default StCI.kmci StCI.kmciLR
Summary method for 'kmci', 'kmciLR', 'kmciLRtidy', or 'kmciLRgroup' object.summary.kmci summary.kmciLR summary.kmciLRgroup summary.kmciLRtidy
Dataframe of 'kmciLRtidy', 'kmciLRgroup', or a 'kmciLR' object.tidykmciLR