Introduction | Using the package | Assessing Diagnostics | Balance Assessment | Estimating the Causal Effect | About This Tutorial | Acknowledgments | References
Package: twangContinuous 1.0.0
twangContinuous: Toolkit for Weighting and Analysis of Nonequivalent Groups - Continuous Exposures
Provides functions for propensity score estimation and weighting for continuous exposures as described in Zhu, Y., Coffman, D. L., & Ghosh, D. (2015). A boosting algorithm for estimating generalized propensity scores with continuous treatments. Journal of Causal Inference, 3(1), 25-40. <doi:10.1515/jci-2014-0022>.
Authors:
twangContinuous_1.0.0.tar.gz
twangContinuous_1.0.0.zip(r-4.7)twangContinuous_1.0.0.zip(r-4.6)twangContinuous_1.0.0.zip(r-4.5)
twangContinuous_1.0.0.tgz(r-4.6-any)twangContinuous_1.0.0.tgz(r-4.5-any)
twangContinuous_1.0.0.tar.gz(r-4.7-any)twangContinuous_1.0.0.tar.gz(r-4.6-any)
twangContinuous_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
twangContinuous/json (API)
| # Install 'twangContinuous' in R: |
| install.packages('twangContinuous', repos = c('https://dcoffman.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dcoffman/twangcontinuous/issues
Datasets:
- dat - A synthetic data set that was derived from a large scale observational study on youth in substance use treatment.
Last updated from:208124b149. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | NOTE | 145 | ||
| source / vignettes | OK | 181 | ||
| linux-release-x86_64 | NOTE | 151 | ||
| macos-release-arm64 | NOTE | 203 | ||
| macos-oldrel-arm64 | NOTE | 175 | ||
| windows-devel | NOTE | 86 | ||
| windows-release | NOTE | 114 | ||
| windows-oldrel | NOTE | 99 | ||
| wasm-release | OK | 164 |
Exports:bal.tableget.weightsplot.ps.contps.contsummary.ps.cont
Dependencies:DBIgbmlatticeMatrixminqamitoolsnumDerivRcppRcppArmadillosurveysurvivalxtable
