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) <doi:10.31235/osf.io/gx4y3>.
Version: 1.0.2 Imports: stats, mgcv, ranger, glmnet, magrittr, dplyr, forcats, ggplot2, tidyr, foreach, tidyselect, parallel, doParallel Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, spelling Published: 2021-10-11 DOI: 10.32614/CRAN.package.gapclosing Author: Ian Lundberg [aut, cre] Maintainer: Ian Lundberg <ianlundberg at ucla.edu> BugReports: https://github.com/ilundberg/gapclosing/issues License: MIT + file LICENSE URL: https://ilundberg.github.io/gapclosing/ NeedsCompilation: no Language: en-US Citation: gapclosing citation info Materials: README CRAN checks: gapclosing results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=gapclosing to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4