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optweight
View on CRAN: Click
here
Download and install optweight package within the R console
Install from CRAN:
install.packages("optweight")
Install from Github:
library("remotes")
install_github("cran/optweight") Install by package version:
library("remotes")
install_version("optweight", "1.0.0") Attach the package and use:
library("optweight")
Maintained by
Noah Greifer
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-09-22
Latest Update: 2019-09-16
Description:
Use optimization to estimate weights that balance covariates for binary, multinomial, and continuous treatments in the spirit of Zubizarreta (2015) . The degree of balance can be specified for each covariate. In addition, sampling weights can be estimated that allow a sample to generalize to a population specified with given target moments of covariates.
How to cite:
Noah Greifer (2018). optweight: Optimization-Based Stable Balancing Weights. R package version 1.0.0, https://cran.r-project.org/web/packages/optweight. Accessed 05 Aug. 2026.
Previous versions and publish date:
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Complete documentation for optweight
Functions, R codes and Examples using
the optweight R package
Some associated functions: check.targets . check.tols . optweight.fit . optweight . optweight.svy.fit . optweight.svy . plot.optweight . summary.optweight .
Some associated R codes: SHARED.R . check_functions.R . functions_for_processing.R . optweight.R . optweight.fit.R . optweight.svy.R . optweight.svy.fit.R . plot.optweight.R . summary.R . Full optweight package functions and examples
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