Provides methods for estimating causal effects in the presence of interference. Currently it implements the IPW estimators proposed by E.J. Tchetgen Tchetgen and T.J. Vanderweele in "On causal inference in the presence of interference" (Statistical Methods in Medical Research, 21(1) 55-75).
| Version: | 0.4.62 |
| Depends: | R (≥ 3.1) |
| Imports: | numDeriv (≥ 2012.9-1), lme4 (≥ 1.1-6), Formula (≥ 1.1-2) |
| Suggests: | testthat, knitr |
| Published: | 2015-06-08 |
| Author: | Bradley Saul |
| Maintainer: | Bradley Saul <saulb at live.unc.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | inferference results |
| Reference manual: | inferference.pdf |
| Vignettes: |
inferference_intro inferference_plots |
| Package source: | inferference_0.4.62.tar.gz |
| Windows binaries: | r-devel: inferference_0.4.62.zip, r-release: inferference_0.4.62.zip, r-oldrel: inferference_0.4.62.zip |
| OS X Mavericks binaries: | r-release: inferference_0.4.62.tgz, r-oldrel: inferference_0.4.62.tgz |
| Old sources: | inferference archive |
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