Package: drgee
Type: Package
Title: Doubly Robust Generalized Estimating Equations
Version: 1.1.9
Date: 2019-09-17
Author: Johan Zetterqvist <drjohanzetterqvist at gmail.com> , Arvid Sjölander <arvid.sjolander at ki.se> with contributions from Alexander Ploner.
Maintainer: Johan Zetterqvist <drjohanzetterqvist@gmail.com>
Description: 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. For more information, see Zetterqvist and Sjölander (2015) <doi:10.1515/em-2014-0021>.
Depends: stats, nleqslv, survival, R (>= 3.0.0), Rcpp, data.table
LinkingTo: Rcpp, RcppArmadillo
License: GPL-2 | GPL-3
NeedsCompilation: yes
Encoding: UTF-8
Packaged: 2019-09-17 14:02:04 UTC; jozett
Repository: CRAN
Date/Publication: 2019-09-17 14:40:03 UTC

Authors@R: c(person("Yue", "Hu", email = "yuehu@tsinghua.edu.cn", role = c("aut","cre")), person("Yufei", "Sun", email = "sunyf20@mails.tsinghua.edu.cn", role = c("ctb")))
Description: A fast, interactive tool built upon the 'learnr' function which will open a shiny app for learners to interact with the instructions and tasks. The best way to learn these skills together with the “Learning R with Dr. Hu” online/offline workshops.
Imports: gapminder, scales, gt, modelsummary, dotwhisker, interplot,
likert, ggthemes, ggeffects, summarytools, knitr, tidyverse,
car, arm, nnet, ordinal, moments, tibble, performance,

person("Yufei", "Sun", role = c("aut"), email = "sunyf20@mails.tsinghua.edu.cn")
Description: Tutorials of R learning easily and happily.
Suggests: rmarkdown, scales, modelsummary, likert, knitr, tidyverse,