Welcome! | Example With Simulated Data | Population Parameters | Data Generation | Fitting the Model
Package: svycdiff 0.2.0
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:
svycdiff_0.2.0.tar.gz
svycdiff_0.2.0.zip(r-4.7-any)svycdiff_0.2.0.zip(r-4.6-any)svycdiff_0.2.0.zip(r-4.5-any)
svycdiff_0.2.0.tgz(r-4.6-any)svycdiff_0.2.0.tgz(r-4.5-any)
svycdiff_0.2.0.tar.gz(r-4.7-any)svycdiff_0.2.0.tar.gz(r-4.6-any)
svycdiff_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
svycdiff/json (API)
| # Install 'svycdiff' in R: |
| install.packages('svycdiff', repos = c('https://salernos.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/salernos/svycdiff/issues
Pkgdown/docs site:https://salernos.github.io
Datasets:
- NHANES - Race, SES, and Telomere Length Data
Last updated from:0b8592ac84. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 150 | ||
| source / vignettes | OK | 176 | ||
| linux-release | OK | 133 | ||
| macos-release | OK | 247 | ||
| macos-oldrel | OK | 199 | ||
| windows-devel | OK | 94 | ||
| windows-release | OK | 104 | ||
| windows-oldrel | OK | 89 | ||
| wasm-release | OK | 102 |
Dependencies:betaregDBIflexmixFormulalatticelmtestMASSMatrixminqamitoolsmodeltoolsnnetnumDerivRcppRcppArmadillosandwichsurveysurvivalzoo
