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:Donna Coffman [aut, cre], Brian Vegetabile [ctb]

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twangContinuous.pdf |twangContinuous.html✨
twangContinuous/json (API)

# Install 'twangContinuous' in R:
install.packages('twangContinuous', repos = c('https://dcoffman.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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.

On CRAN:

3.00 score 1 stars 5 scripts 803 downloads 5 exports 12 dependencies

Last updated 3 years agofrom:208124b149. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winNOTENov 04 2024
R-4.5-linuxNOTENov 04 2024
R-4.4-winNOTENov 04 2024
R-4.4-macNOTENov 04 2024
R-4.3-winNOTENov 04 2024
R-4.3-macNOTENov 04 2024

Exports:bal.tableget.weightsplot.ps.contps.contsummary.ps.cont

Dependencies:DBIgbmlatticeMatrixminqamitoolsnumDerivRcppRcppArmadillosurveysurvivalxtable

Brief Tutorial for twangContinuous

Donna L. Coffman and Beth Ann Griffin

Rendered frombriefTutorial.Rmdusingknitr::rmarkdownon Nov 04 2024.

Last update: 2021-05-03
Started: 2020-10-21