Package: svycdiff 0.1.1

Stephen Salerno

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>.

Authors:Stephen Salerno [aut, cre, cph], Emily K Roberts [aut], Tyler H McCormick [aut], Bhramar Mukherjee [aut], Xu Shi [aut]

svycdiff_0.1.1.tar.gz
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svycdiff.pdf |svycdiff.html
svycdiff/json (API)
NEWS

# Install 'svycdiff' in R:
install.packages('svycdiff', repos = c('https://salernos.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/salernos/svycdiff/issues

Datasets:
  • NHANES - Race, SES, and Telomere Length Data

On CRAN:

2 exports 1.16 score 18 dependencies 4 scripts

Last updated 2 months agofrom:ce4c60f406. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-winOKAug 21 2024
R-4.5-linuxOKAug 21 2024
R-4.4-winOKAug 21 2024
R-4.4-macOKAug 21 2024
R-4.3-winOKAug 21 2024
R-4.3-macOKAug 21 2024

Exports:simdatsvycdiff

Dependencies:betaregDBIflexmixFormulalatticelmtestMatrixminqamitoolsmodeltoolsnnetnumDerivRcppRcppArmadillosandwichsurveysurvivalzoo

Using the svycdiff package

Rendered fromsvycdiff.Rmdusingknitr::knitron Aug 21 2024.

Last update: 2024-07-19
Started: 2024-05-28