Package: RCTRecruit 0.1.24

Ioannis Malagaris

RCTRecruit: Non-Parametric Recruitment Prediction for Randomized Clinical Trials

Accurate prediction of subject recruitment for Randomized Clinical Trials (RCT) remains an ongoing challenge. Many previous prediction models rely on parametric assumptions. We present functions for non-parametric RCT recruitment prediction under several scenarios.

Authors:Ioannis Malagaris [aut, cre, cph], Alejandro Villasante-Tezanos [aut], Christopher Kurinec [aut], Xiaoying Yu [aut]

RCTRecruit_0.1.24.tar.gz
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RCTRecruit_0.1.24.tgz(r-4.5-x86_64)RCTRecruit_0.1.24.tgz(r-4.5-arm64)RCTRecruit_0.1.24.tgz(r-4.4-x86_64)RCTRecruit_0.1.24.tgz(r-4.4-arm64)RCTRecruit_0.1.24.tgz(r-4.3-x86_64)RCTRecruit_0.1.24.tgz(r-4.3-arm64)
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RCTRecruit.pdf |RCTRecruit.html✨
RCTRecruit/json (API)
NEWS

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

Bug tracker:https://github.com/imalagaris/rctrecruit/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • gripsYR1 - Daily recruitment data for the 1st year of the GRIPS study
  • gripsYR2 - Daily recruitment data for the 2nd year of the GRIPS study
  • gripsYR2Weekly - Weekly recruitment data for the 2nd year of the GRIPS study

On CRAN:

Conda:

cpp

3.65 score 1 stars 3 scripts 230 downloads 4 exports 5 dependencies

Last updated 2 months agofrom:26c3538f64. Checks:7 OK, 3 NOTE, 1 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 15 2025
R-4.5-win-x86_64NOTEFeb 15 2025
R-4.5-mac-x86_64ERRORFeb 15 2025
R-4.5-mac-aarch64NOTEFeb 15 2025
R-4.5-linux-x86_64NOTEFeb 15 2025
R-4.4-win-x86_64OKFeb 15 2025
R-4.4-mac-x86_64OKFeb 15 2025
R-4.4-mac-aarch64OKFeb 15 2025
R-4.3-win-x86_64OKFeb 15 2025
R-4.3-mac-x86_64OKFeb 15 2025
R-4.3-mac-aarch64OKFeb 15 2025

Exports:GetDistanceGetWeekPredCILoadDataTime2Nsubjects

Dependencies:cpp11genericslubridateRcpptimechange