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
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independenceWeights.pdf |independenceWeights.html✨
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 2 years agofrom:2ec0e0b7c7. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 27 2024 |
R-4.5-win | NOTE | Oct 27 2024 |
R-4.5-linux | NOTE | Oct 27 2024 |
R-4.4-win | NOTE | Oct 27 2024 |
R-4.4-mac | NOTE | Oct 27 2024 |
R-4.3-win | NOTE | Oct 27 2024 |
R-4.3-mac | NOTE | Oct 27 2024 |
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 |