Package: ClinTrialPredict 0.0.4

Yang Ding

ClinTrialPredict: Predicting and Simulating Clinical Trial with Time-to-Event Endpoint

Predict the course of clinical trial with a time-to-event endpoint for both two-arm and single-arm design. Each of the four primary study design parameters (the expected number of observed events, the number of subjects enrolled, the observation time, and the censoring parameter) can be derived analytically given the other three parameters. And the simulation datasets can be generated based on the design settings.

Authors:Yang Ding [aut, cre]

ClinTrialPredict_0.0.4.tar.gz
ClinTrialPredict_0.0.4.tar.gz(r-4.5-noble)ClinTrialPredict_0.0.4.tar.gz(r-4.4-noble)
ClinTrialPredict_0.0.4.tgz(r-4.4-emscripten)ClinTrialPredict_0.0.4.tgz(r-4.3-emscripten)
ClinTrialPredict.pdf |ClinTrialPredict.html✨
ClinTrialPredict/json (API)
NEWS

# Install 'ClinTrialPredict' in R:
install.packages('ClinTrialPredict', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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

2.70 score 10 exports 0 dependencies

Last updated 8 hours agofrom:fa943e846b. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 25 2024
R-4.5-linuxOKNov 25 2024

Exports:CensRate.OneArmCensTime.TwoArmNumEventsSub.OneArmNumEventsSub.TwoArmObsTime.OneArmObsTime.TwoArmSimData.OneArmSimData.TwoArmTrialPred.OneArmTrialPred.TwoArm

Dependencies:

R packages: Static PDF and HTML vignettes

Rendered fromClinTrialPredict.pdf.asisusingR.rsp::asison Nov 25 2024.

Last update: 2024-11-25
Started: 2024-11-25