Cross-screening is a new method that uses both random halves of the sample to screen and test many hypotheses. It generally improves statistical power in observational studies when many hypotheses are tested simultaneously. References: 1. Qingyuan Zhao, Dylan S Small, and Paul R Rosenbaum. Cross-screening in observational studies that test many hypotheses. <arXiv:1703.02078>. 2. Qingyuan Zhao. On sensitivity value of pair-matched observational studies. <arXiv:1702.03442>.
| Version: | 0.1.1 |
| Imports: | stats, parallel, plyr, tables |
| Suggests: | knitr, ggplot2 |
| Published: | 2017-04-21 |
| Author: | Paul Rosenbaum [aut], Qingyuan Zhao [aut, cre] |
| Maintainer: | Qingyuan Zhao <qyzhao at wharton.upenn.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| CRAN checks: | CrossScreening results |
| Reference manual: | CrossScreening.pdf |
| Vignettes: |
CrossScreening Vignette |
| Package source: | CrossScreening_0.1.1.tar.gz |
| Windows binaries: | r-devel: CrossScreening_0.1.1.zip, r-release: CrossScreening_0.1.1.zip, r-oldrel: CrossScreening_0.1.1.zip |
| macOS binaries: | r-release: CrossScreening_0.1.1.tgz, r-oldrel: CrossScreening_0.1.1.tgz |
| Old sources: | CrossScreening archive |
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