Other packages > Find by keyword >

madr  

Model Averaged Double Robust Estimation
View on CRAN: Click here


Download and install madr package within the R console
Install from CRAN:
install.packages("madr")

Install from Github:
library("remotes")
install_github("cran/madr")

Install by package version:
library("remotes")
install_version("madr", "1.0.0")



Attach the package and use:
library("madr")
Maintained by
Matthew Cefalu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-02
Latest Update: 2016-09-05
Description:
Estimates average treatment effects using model average double robust (MA-DR) estimation. The MA-DR estimator is defined as weighted average of double robust estimators, where each double robust estimator corresponds to a specific choice of the outcome model and the propensity score model. The MA-DR estimator extend the desirable double robustness property by achieving consistency under the much weaker assumption that either the true propensity score model or the true outcome model be within a specified, possibly large, class of models.
How to cite:
Matthew Cefalu (2016). madr: Model Averaged Double Robust Estimation. R package version 1.0.0, https://cran.r-project.org/web/packages/madr. Accessed 04 Jun. 2026.
Previous versions and publish date:
0.1.0 (2016-09-02 21:45), 1.0.0 (2016-09-05 20:23)
Other packages that cited madr R package
View madr citation profile
Other R packages that madr depends, imports, suggests or enhances
Complete documentation for madr
Functions, R codes and Examples using the madr R package
Some associated functions: OM.MA.enumerate . OM.MA . PS.MA.enumerate . PS.MA . add.to.dictionary . add.to.dictionary.outcome . bic.to.prob . expit . madr.enumerate . madr.mcmc . madr . print.madr.enumerate . print.madr.mcmc . print.summary.madr.enumerate . summary.madr.enumerate . 
Some associated R codes: Full madr package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA