Package: independenceWeights 0.0.2
independenceWeights: Estimates Weights for Confounding Control for Continuous-Valued Exposures
Estimates weights to make a continuous-valued exposure statistically independent of a vector of pre-treatment covariates using the method proposed in Huling, Greifer, and Chen (2021) <arxiv:2107.07086>.
Authors:
independenceWeights_0.0.2.tar.gz
independenceWeights_0.0.2.zip(r-4.7)independenceWeights_0.0.2.zip(r-4.6)independenceWeights_0.0.2.zip(r-4.5)
independenceWeights_0.0.2.tgz(r-4.6-any)independenceWeights_0.0.2.tgz(r-4.5-any)
independenceWeights_0.0.2.tar.gz(r-4.7-any)independenceWeights_0.0.2.tar.gz(r-4.6-any)
independenceWeights_0.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
independenceWeights/json (API)
| # Install 'independenceWeights' in R: |
| install.packages('independenceWeights', repos = c('https://jaredhuling.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jaredhuling/independenceweights/issues
causalcausal-inferenceweighting
Last updated from:2ec0e0b7c7. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 178 | ||
| source / vignettes | OK | 145 | ||
| linux-release-x86_64 | NOTE | 133 | ||
| macos-release-arm64 | NOTE | 116 | ||
| macos-oldrel-arm64 | NOTE | 96 | ||
| windows-devel | NOTE | 88 | ||
| windows-release | NOTE | 83 | ||
| windows-oldrel | NOTE | 87 | ||
| wasm-release | OK | 96 |
Exports:independence_weightssimulate_confounded_dataweighted_energy_statsweighted_kernel_est
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Construction of distance covariance optimal weights weights | independence_weights |
| Printing results for estimated energy balancing weights | print.independence_weights print.weighted_energy_terms |
| Simulation of confounded data with a continuous treatment | simulate_confounded_data |
| Calculation of weighted energy statistics for weighted dependence | weighted_energy_stats |
| Calculation of weighted nonparametric regression estimate of the dose response function | weighted_kernel_est |
