[aut, cre],
Bradley Saul [ctb]Estimating causal effects from observational studies assuming clustered (or partial) interference. These inverse probability-weighted estimators target new estimands arising from population-level treatment policies. The estimands and estimators are introduced in Barkley et al. (2017) <arXiv:1711.04834>.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.2) |
| Imports: | Formula (≥ 1.1-2), cubature (≥ 1.1-2), lme4 (≥ 1.1-10), numDeriv (≥ 2014.2-1), rootSolve (≥ 1.6.6) |
| Suggests: | testthat, rprojroot, knitr, rmarkdown, covr |
| Published: | 2019-03-18 |
| Author: | Brian G. Barkley
[aut, cre],
Bradley Saul [ctb] |
| Maintainer: | Brian G. Barkley <BarkleyBG at outlook.com> |
| BugReports: | http://github.com/BarkleyBG/clusteredinterference/issues |
| License: | GPL-3 |
| URL: | http://github.com/BarkleyBG/clusteredinterference |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | clusteredinterference results |
| Reference manual: | clusteredinterference.pdf |
| Vignettes: |
estimate-policyFX |
| Package source: | clusteredinterference_1.0.1.tar.gz |
| Windows binaries: | r-devel: clusteredinterference_1.0.1.zip, r-release: clusteredinterference_1.0.1.zip, r-oldrel: clusteredinterference_1.0.1.zip |
| macOS binaries: | r-release: clusteredinterference_1.0.1.tgz, r-oldrel: clusteredinterference_1.0.1.tgz |
| Old sources: | clusteredinterference archive |
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