Package: CRTgeeDR 2.0.1
CRTgeeDR: Doubly Robust Inverse Probability Weighted Augmented GEE Estimator
Implements a semi-parametric GEE estimator accounting for missing data with Inverse-probability weighting (IPW) and for imbalance in covariates with augmentation (AUG). The estimator IPW-AUG-GEE is Doubly robust (DR).
Authors:
CRTgeeDR_2.0.1.tar.gz
CRTgeeDR_2.0.1.zip(r-4.5)CRTgeeDR_2.0.1.zip(r-4.4)CRTgeeDR_2.0.1.zip(r-4.3)
CRTgeeDR_2.0.1.tgz(r-4.4-any)CRTgeeDR_2.0.1.tgz(r-4.3-any)
CRTgeeDR_2.0.1.tar.gz(r-4.5-noble)CRTgeeDR_2.0.1.tar.gz(r-4.4-noble)
CRTgeeDR_2.0.1.tgz(r-4.4-emscripten)CRTgeeDR_2.0.1.tgz(r-4.3-emscripten)
CRTgeeDR.pdf |CRTgeeDR.html✨
CRTgeeDR/json (API)
# Install 'CRTgeeDR' in R: |
install.packages('CRTgeeDR', repos = c('https://mprague.r-universe.dev', 'https://cloud.r-project.org')) |
- data.sim - The data.sim Dataset.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:c05bca5918. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 09 2024 |
R-4.5-win | OK | Nov 09 2024 |
R-4.5-linux | OK | Nov 09 2024 |
R-4.4-win | OK | Nov 09 2024 |
R-4.4-mac | OK | Nov 09 2024 |
R-4.3-win | OK | Nov 09 2024 |
R-4.3-mac | OK | Nov 09 2024 |
Exports:geeDREstimationgetCIgetOMPlotgetPSPlot
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Doubly Robust Inverse Probability Weighted Augmented GEE estimator | CRTgeeDR-package CRTgeeDR |
The data.sim Dataset. | data.sim |
Fit CRTgeeDR object. | fitted fitted.CRTgeeDR |
Doubly Robust Inverse Probability Weighted Augmented GEE Estimator | geeDREstimation |
Get Mean, Sd and CI for estimates from CRTgeeDR object. | getCI |
Get the observed vs fitted residuals | getOMPlot |
Get the histogram of weights for IPW and adequation for the glm weights model | getPSPlot |
Predict CRTgeeDR object. | predict predict.CRTgeeDR |
Prints CRTgeeDR object. | print print.CRTgeeDR |
Print the summarizing CRTgeeDR object. | print.summary print.summary.CRTgeeDR |
Summarizing CRTgeeDR object. | summary summary.CRTgeeDR |