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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
Previous versions and publish date:
0.1.0 (2016-09-02 21:45)
Other packages that cited madr R package
View madr citation profile
Other R packages that madr depends, imports, suggests or enhances
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
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