A finite-population significance test of the 'sharp' causal null hypothesis that treatment exposure X has no effect on final outcome Y, within the principal stratum of Compliers. A generalized likelihood ratio test statistic is used, and the resulting p-value is exact. Currently, it is assumed that there are only Compliers and Never Takers in the population.
| Version: | 0.2.2 |
| Imports: | data.table (≥ 1.9.4), Rcpp (≥ 0.12.1) |
| LinkingTo: | Rcpp |
| Suggests: | testthat |
| Published: | 2016-02-15 |
| DOI: | 10.32614/CRAN.package.noncompliance |
| Author: | Wen Wei Loh [aut, cre], Thomas S. Richardson [aut] |
| Maintainer: | Wen Wei Loh <wloh at uw.edu> |
| License: | GPL (≥ 3) |
| URL: | https://www.stat.washington.edu/~wloh/ |
| NeedsCompilation: | yes |
| CRAN checks: | noncompliance results |
| Reference manual: | noncompliance.pdf |
| Package source: | noncompliance_0.2.2.tar.gz |
| Windows binaries: | r-devel: noncompliance_0.2.2.zip, r-release: noncompliance_0.2.2.zip, r-oldrel: noncompliance_0.2.2.zip |
| macOS binaries: | r-release (arm64): noncompliance_0.2.2.tgz, r-oldrel (arm64): noncompliance_0.2.2.tgz, r-release (x86_64): noncompliance_0.2.2.tgz, r-oldrel (x86_64): noncompliance_0.2.2.tgz |
| Old sources: | noncompliance archive |
Please use the canonical form https://CRAN.R-project.org/package=noncompliance to link to this page.