svycdiff: Controlled Difference Estimation for Complex Surveys

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>.

Version:	0.1.1
Depends:	R (≥ 3.5.0)
Imports:	betareg, numDeriv, stats, survey
Suggests:	knitr, rmarkdown, markdown, spelling
Published:	2024-08-20
DOI:	10.32614/CRAN.package.svycdiff
Author:	Stephen Salerno [aut, cre, cph], Emily K Roberts [aut], Tyler H McCormick [aut], Bhramar Mukherjee [aut], Xu Shi [aut]
Maintainer:	Stephen Salerno <ssalerno at fredhutch.org>
BugReports:	https://github.com/salernos/svycdiff/issues
License:	GPL (≥ 3)
URL:	https://github.com/salernos/svycdiff, https://salernos.github.io/svycdiff/
NeedsCompilation:	no
Language:	en-US
Materials:	README NEWS
CRAN checks:	svycdiff results

Documentation:

Reference manual:	svycdiff.pdf
Vignettes:	Using the svycdiff package (source, R code)

Downloads:

Package source:	svycdiff_0.1.1.tar.gz
Windows binaries:	r-devel: svycdiff_0.1.1.zip, r-release: svycdiff_0.1.1.zip, r-oldrel: svycdiff_0.1.1.zip
macOS binaries:	r-release (arm64): svycdiff_0.1.1.tgz, r-oldrel (arm64): svycdiff_0.1.1.tgz, r-release (x86_64): svycdiff_0.1.1.tgz, r-oldrel (x86_64): svycdiff_0.1.1.tgz

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