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gapclosing
View on CRAN: Click
here
Download and install gapclosing package within the R console
Install from CRAN:
install.packages("gapclosing")
Install from Github:
library("remotes")
install_github("cran/gapclosing")
Install by package version:
library("remotes")
install_version("gapclosing", "1.0.2")
Attach the package and use:
library("gapclosing")
Maintained by
Ian Lundberg
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-06
Latest Update: 2021-10-11
Description:
Provides functions to estimate the disparities across categories (e.g. Black and white) that persists if a treatment variable (e.g. college) is equalized. Makes estimates by treatment modeling, outcome modeling, and doubly-robust augmented inverse probability weighting estimation, with standard errors calculated by a nonparametric bootstrap. Cross-fitting is supported. Survey weights are supported for point estimation but not for standard error estimation; those applying this package with complex survey samples should consult the data distributor to select an appropriate approach for standard error construction, which may involve calling the functions repeatedly for many sets of replicate weights provided by the data distributor. The methods in this package are described in Lundberg (2021) .
How to cite:
Ian Lundberg (2021). gapclosing: Estimate Gaps Under an Intervention. R package version 1.0.2, https://cran.r-project.org/web/packages/gapclosing
Previous versions and publish date:
1.0.1 (2021-09-06 10:20)
Other packages that cited gapclosing R package
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Other R packages that gapclosing depends,
imports, suggests or enhances
Functions, R codes and Examples using
the gapclosing R package
Some associated functions: as.data.frame.gapclosing . cross_fit_estimator . df_to_gapclosing_list . disparityplot . fit_ridge . gapclosing . generate_simulated_data . pairwise_diff . pipe . plot.gapclosing . point_estimator . print.gapclosing . summary.gapclosing .
Some associated R codes: as.data.frame.gapclosing.R . cross_fit_estimator.R . df_to_gapclosing_list.R . disparityplot.R . fit_ridge.R . gapclosing.R . generate_simulated_data.R . pairwise_diff.R . plot.gapclosing.R . point_estimator.R . print.gapclosing.R . summary.gapclosing.R . utils-pipe.R . Full gapclosing package functions and examples
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