Fit restricted mean models for the conditional association between an exposure and an outcome, given covariates. Three methods are implemented: O-estimation, where a nuisance model for the association between the covariates and the outcome is used; E-estimation where a nuisance model for the association between the covariates and the exposure is used, and doubly robust (DR) estimation where both nuisance models are used. In DR-estimation, the estimates will be consistent when at least one of the nuisance models is correctly specified, not necessarily both.
| Version: | 1.1.4 |
| Depends: | stats, nleqslv, survival, R (≥ 3.0.0), Rcpp, data.table |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2016-01-13 |
| Author: | Johan Zetterqvist , Arvid Sjölander with contributions from Alexander Ploner. |
| Maintainer: | Johan Zetterqvist <johan.zetterqvist at ki.se> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | yes |
| Citation: | drgee citation info |
| Materials: | NEWS |
| In views: | Robust |
| CRAN checks: | drgee results |
| Reference manual: | drgee.pdf |
| Package source: | drgee_1.1.4.tar.gz |
| Windows binaries: | r-devel: drgee_1.1.4.zip, r-release: drgee_1.1.4.zip, r-oldrel: drgee_1.1.4.zip |
| OS X Snow Leopard binaries: | r-release: drgee_1.1.4.tgz, r-oldrel: drgee_1.1.2.tgz |
| OS X Mavericks binaries: | r-release: drgee_1.1.4.tgz |
| Old sources: | drgee archive |
| Reverse depends: | AF |