tedwestling/ctsCausal: Methods for Causal Inference with Continuous Exposures

This package contains methods for causal inference with continuous and other non-discrete treatments/exposures. These methods are primarily nonparametric in nature and design. causalNullTest performs a test that the causal dose response curve is flat. causalDoseResponse (not yet implemented) will contain methods for estimating causal dose-response curves. cmdSuperLearner is a method for SuperLearner-based estimation of conditional mixed continuous/discrete density functions.

Getting started

Package details

AuthorTed Westling
MaintainerTed Westling <twestling@math.umass.edu>
LicenseMIT
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("tedwestling/ctsCausal")
tedwestling/ctsCausal documentation built on Dec. 7, 2022, 3:33 p.m.