A prediction-based approach to the analysis of data from randomized clinical trials is implemented. Based on response and covariate data from a randomized clinical trial comparing a new experimental treatment E versus a control C, the objective is to develop and internally validate a model that can identify subjects likely to benefit from E rather than C. Currently, survival and binary response types are permitted.
| Version: | 0.5.0 |
| Depends: | R (≥ 2.10) |
| Imports: | survival, glmnet |
| Published: | 2016-04-15 |
| Author: | Jyothi Subramanian [aut, cre], Richard Simon [aut] |
| Maintainer: | Jyothi Subramanian <subramanianj01 at gmail.com> |
| License: | GPL-3 |
| URL: | https://github.com/brbnci/pact |
| NeedsCompilation: | no |
| CRAN checks: | pact results |
| Reference manual: | pact.pdf |
| Vignettes: |
Predictive Analysis of Clinical Trials |
| Package source: | pact_0.5.0.tar.gz |
| Windows binaries: | r-devel: pact_0.5.0.zip, r-release: pact_0.5.0.zip, r-oldrel: pact_0.5.0.zip |
| macOS binaries: | r-release: pact_0.5.0.tgz, r-oldrel: pact_0.5.0.tgz |
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