Testing for heterogeneous effects in a case-control setting. The aim here to discover an association that is beyond a mean difference between all cases and all controls. Instead, the signal of interest here is present in only a proportion of the cases. This test should be more powerful than a t-test or Wilcoxon test in this heterogeneous setting. Please cite the corresponding paper: Mezlini et al. (2020) <doi:10.1101/2020.03.23.002972>.
| Version: | 0.1.0 |
| Imports: | stats |
| Published: | 2020-04-01 |
| Author: | Aziz M. Mezlini [aut,cre,cph] |
| Maintainer: | Aziz M. Mezlini <mmezlini at mgh.harvard.edu> |
| License: | GPL-3 |
| URL: | https://www.biorxiv.org/content/10.1101/2020.03.23.002972v2 |
| NeedsCompilation: | no |
| Citation: | aziztest citation info |
| CRAN checks: | aziztest results |
| Reference manual: | aziztest.pdf |
| Package source: | aziztest_0.1.0.tar.gz |
| Windows binaries: | r-devel: aziztest_0.1.0.zip, r-release: aziztest_0.1.0.zip, r-oldrel: aziztest_0.1.0.zip |
| macOS binaries: | r-release: aziztest_0.1.0.tgz, r-oldrel: aziztest_0.1.0.tgz |
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