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 = 'https://cloud.r-project.org')

On CRAN:

Conda:

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

2.70 score 173 downloads 10 exports 0 dependencies

Last updated 4 months agofrom:fa943e846b. Checks:3 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 25 2025
R-4.5-linuxOKMar 25 2025
R-4.4-linuxOKMar 25 2025

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 Mar 25 2025.

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

Citation

To cite package ‘ClinTrialPredict’ in publications use:

Ding Y (2024). ClinTrialPredict: Predicting and Simulating Clinical Trial with Time-to-Event Endpoint. R package version 0.0.4, https://CRAN.R-project.org/package=ClinTrialPredict.

Corresponding BibTeX entry: 

  @Manual{,
    title = {ClinTrialPredict: Predicting and Simulating Clinical Trial
      with Time-to-Event Endpoint},
    author = {Yang Ding},
    year = {2024},
    note = {R package version 0.0.4},
    url = {https://CRAN.R-project.org/package=ClinTrialPredict},
  }