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svycdiff  

Controlled Difference Estimation for Complex Surveys
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("svycdiff", "0.1.1")



Attach the package and use:
library("svycdiff")
Maintained by
Stephen Salerno
[Scholar Profile | Author Map]
First Published: 2024-08-20
Latest Update: 2024-08-20
Description:
Estimates the population average controlled difference for a given outcome between levels of a binary treatment, exposure, or other group membership variable of interest for clustered, stratified survey samples where sample selection depends on the comparison group. Provides three methods for estimation, namely outcome modeling and two factorizations of inverse probability weighting. Under stronger assumptions, these methods estimate the causal population average treatment effect. Salerno et al., (2024) <doi:10.48550/arXiv.2406.19597>.
How to cite:
Stephen Salerno (2024). svycdiff: Controlled Difference Estimation for Complex Surveys. R package version 0.1.1, https://cran.r-project.org/web/packages/svycdiff. Accessed 17 Feb. 2025.
Previous versions and publish date:
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