Toolkit for Weighting and Analysis of Nonequivalent Groups - Continuous Exposures
Overview
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.
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from: ‘Rcpp’ All declared Imports should be used.
- NOTE11 OK, 2 NOTENow
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 6
- Examples that run
- 20%1 run in a plain check · 4 never run
- Exported functions with examples
- 80%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 33%
Downloads
Dependencies
Installing twangContinuous adds 9 packages (5 with compiled code, 7.4 MB of source tarballs). Heaviest: survey 2.3 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.0.0Latest2021-02-26 · current release
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2021-02-26
- Total releases
- 1 / 5 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 181 KB / 1 file
- Download size
- 358 KB
Cite
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