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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.
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Package details |
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| Author | Ioannis Malagaris [aut, cre, cph] (<https://orcid.org/0000-0001-5126-2068>), Alejandro Villasante-Tezanos [aut], Christopher Kurinec [aut], Xiaoying Yu [aut] |
| Maintainer | Ioannis Malagaris <iomalaga@utmb.edu> |
| License | MIT + file LICENSE |
| Version | 0.2.0 |
| URL | https://github.com/imalagaris/RCTRecruit |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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