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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling linux/jammy R-4.5 | RCTRecruit_0.2.0.tar.gz |
224.8 KiB |
0.2.0 |
rolling linux/noble R-4.5 | RCTRecruit_0.2.0.tar.gz |
226.7 KiB |
0.2.0 |
rolling source/ R- | RCTRecruit_0.2.0.tar.gz |
50.9 KiB |
0.2.0 |
latest linux/jammy R-4.5 | RCTRecruit_0.2.0.tar.gz |
224.8 KiB |
0.2.0 |
latest linux/noble R-4.5 | RCTRecruit_0.2.0.tar.gz |
226.7 KiB |
0.2.0 |
latest source/ R- | RCTRecruit_0.2.0.tar.gz |
50.9 KiB |
0.2.0 |
2026-04-26 source/ R- | RCTRecruit_0.2.0.tar.gz |
50.9 KiB |
0.2.0 |
2026-04-23 source/ R- | RCTRecruit_0.2.0.tar.gz |
50.9 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | RCTRecruit_0.2.0.zip |
542.6 KiB |
0.1.24 |
2025-04-20 source/ R- | RCTRecruit_0.1.24.tar.gz |
50.5 KiB |