Package: drgee 1.1.10-5
drgee: Doubly Robust Generalized Estimating Equations
Estimates 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>.
Authors:
drgee_1.1.10-5.tar.gz
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drgee_1.1.10-5.tgz(r-4.6-x86_64)drgee_1.1.10-5.tgz(r-4.6-arm64)drgee_1.1.10-5.tgz(r-4.5-x86_64)drgee_1.1.10-5.tgz(r-4.5-arm64)
drgee_1.1.10-5.tar.gz(r-4.7-arm64)drgee_1.1.10-5.tar.gz(r-4.7-x86_64)drgee_1.1.10-5.tar.gz(r-4.6-arm64)drgee_1.1.10-5.tar.gz(r-4.6-x86_64)
drgee_1.1.10-5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
drgee/json (API)
| # Install 'drgee' in R: |
| install.packages('drgee', repos = c('https://drjoze.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/drjoze/drgee/issues
Last updated from:834b96bef0. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 134 | ||
| linux-devel-x86_64 | OK | 151 | ||
| source / vignettes | OK | 167 | ||
| linux-release-arm64 | OK | 128 | ||
| linux-release-x86_64 | OK | 149 | ||
| macos-release-arm64 | OK | 210 | ||
| macos-release-x86_64 | OK | 245 | ||
| macos-oldrel-arm64 | OK | 186 | ||
| macos-oldrel-x86_64 | OK | 521 | ||
| windows-devel-arm64 | OK | 356 | ||
| windows-devel-x86_64 | OK | 144 | ||
| windows-release-arm64 | OK | 343 | ||
| windows-release-x86_64 | OK | 95 | ||
| windows-oldrel-x86_64 | OK | 119 | ||
| wasm-release | OK | 118 |
Exports:centerXcoef.drgeecoef.geedrgeedrgeeDatafindRootsgeegetScoreResidualsFromClogitnaiveVcovnaiveVcov.geeprint.drgeeprint.geeprint.summary.drgeeprint.summary.drgeeDataprint.summary.geerobustVcovrobVcovsummary.drgeesummary.drgeeDatasummary.geevcov.drgeevcov.gee
Dependencies:data.tablelatticeMatrixnleqslvRcppRcppArmadillosurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Doubly Robust Generalized Estimating Equations package | drgee-package |
| Cluster-center a design matrix around cluster means | centerX |
| Doubly Robust Generalized Estimating Equations | clusterRobustVcov.drgee coef.drgee drgee print.drgee print.summary.drgee summary.drgee vcov.drgee |
| Extracting Variables and Model Matrices for Generalized Estimating equations | drgeeData print.summary.drgeeData summary.drgeeData |
| Non Linear Equation System Solving | findRoots |
| Generalized Estimating Equations | clusterRobustVcov.gee coef.gee gee naiveVcov.gee print.gee print.summary.gee summary.gee vcov.gee |
| Get the (conditional) score residuals from conditional logistic regression | getScoreResidualsFromClogit |
| Robust Variance Calculation | naiveVcov robustVcov robVcov |