Package: PwePred 1.1.2

PwePred: Event/Timeline Prediction Model Based on Piecewise Exponential

Efficient algorithm for estimating piecewise exponential hazard models for right-censored data, and is useful for reliable power calculation, study design, and event/timeline prediction for study monitoring.

Authors:Tianchen Xu [aut, cre]

PwePred_1.1.2.tar.gz
PwePred_1.1.2.zip(r-4.7-any)PwePred_1.1.2.zip(r-4.6-any)PwePred_1.1.2.zip(r-4.5-any)
PwePred_1.1.2.tgz(r-4.6-any)PwePred_1.1.2.tgz(r-4.5-any)
PwePred_1.1.2.tar.gz(r-4.7-any)PwePred_1.1.2.tar.gz(r-4.6-any)
PwePred_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PwePred/json (API)

# Install 'PwePred' in R:

install.packages('PwePred', repos = c('https://zjph602xtc.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

pwe_data - Piece-wise Exponentail Example Data
pwe_data_robust_tail - Piece-wise Exponentail Example Data with 'Abnormal' Tail
ruppert_ipd - OS Curves from Ruppert

On CRAN:

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

3.00 score 1 scripts 319 downloads 20 exports 12 dependencies

Last updated from:9519ccfadc. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	180
source / vignettes	OK	196
linux-release	OK	155
macos-release	OK	197
macos-oldrel	OK	174
windows-devel	OK	102
windows-release	OK	108
windows-oldrel	OK	104
wasm-release	OK	91

Exports:boot.pwexpm boot.pwexpm_fit cut_dat cv.pwexpm cv.pwexpm_fit dpwexpm plot_event plot_survival ppwexpm ppwexpm_conditional predict.boot.pwexpm predict.pwexpm pwexpm pwexpm_fit qpwexpm qpwexpm_conditional rpwexpm rpwexpm_conditional sim_followup simdata

Dependencies:codetools doSNOW fastmatch foreach iterators lattice MASS Matrix nlme segmented snow survival

Theory Notes

Rendered fromTheory_Notes.Rmdusingknitr::rmarkdown

Last update: 2025-04-10
Started: 2025-04-10

Citation

Readme and manuals

Help Manual

Help page	Topics
Bootstrap a PWE Model with Formula or Existing Model	boot.pwexpm boot.pwexpm.default boot.pwexpm.pwexpm summary.boot.pwexpm
Bootstrap a PWE Model with Time and Event Vectors	boot.pwexpm_fit
Extract pwexpm Coefficients	coef.pwexpm
The Conditional Piecewise Exponential Distribution	ppwexpm_conditional qpwexpm_conditional rpwexpm_conditional
Confidence Intervals for Model Parameters in boot.pwexpm	confint.boot.pwexpm
Cut Data before a Specified Time	cut_dat
Cross Validate a PWE Model with Formula or Exsiting Model	cv.pwexpm cv.pwexpm.default cv.pwexpm.pwexpm plot.cv.pwexpm
Cross Validate a PWE Model with Time and Event Vectors	cv.pwexpm_fit
The Piecewise Exponential Distribution	dpwexpm ppwexpm qpwexpm rpwexpm
Plot Cumulative Event Curve with Survival Data or Predicted PWE Model	plot.predict.boot.pwexpm plot.predict.pwexpm plot_event plot_event.default plot_event.predict.boot.pwexpm plot_event.predict.pwexpm
Plot Survival Curve for Survival Data or PWE Model	plot.boot.pwexpm plot.pwexpm plot_survival plot_survival.boot.pwexpm plot_survival.default plot_survival.pwexpm
Predict Events for Piecewise Exponential (PWE) Model	predict.boot.pwexpm predict.pwexpm summary.predict.boot.pwexpm summary.predict.pwexpm
Piece-wise Exponentail Example Data	pwe_data
Piece-wise Exponentail Example Data with 'Abnormal' Tail	pwe_data_robust_tail
Fit a PWE Model with Formula	pwexpm summary.pwexpm
Fit a PWE model with Time and Event Vectors	pwexpm_fit
OS Curves from Ruppert (2020)	ruppert_ipd
Estimate Follow-up Time and Number of Events by Simulation	sim_followup
Simulate Survival Data	simdata

Package: PwePred 1.1.2

PwePred: Event/Timeline Prediction Model Based on Piecewise Exponential

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)