Package: CausalModels
Type: Package
Title: Causal Inference Modeling for Estimation of Causal Effects
Version: 0.2.1
Authors@R: 
   c(person(given = "Joshua",
             family = "Anderson",
             role = c("aut", "cre", "cph"),
             email = "jwanderson198@gmail.com"),
     person(given = "Cyril",
             family = "Rakovski",
             role = "rev",
             email = "rakovski@chapman.edu"),
     person(given = "Yesha",
             family = "Patel",
             role = "rev"),
     person(given = "Erin",
             family = "Lee",
             role = "rev"))
Maintainer: Joshua Anderson <jwanderson198@gmail.com>
Description: Provides an array of statistical models common in causal
        inference such as standardization, IP weighting, propensity
        matching, outcome regression, and doubly-robust estimators.
        Estimates of the average treatment effects from each model are
        given with the standard error and a 95% Wald confidence
        interval (Hernan, Robins (2020)
        <https://miguelhernan.org/whatifbook/>).
License: GPL-3
URL: https://github.com/ander428/CausalModels
BugReports: https://github.com/ander428/CausalModels/issues
Encoding: UTF-8
RoxygenNote: 7.1.2
Language: en-US
Imports: stats, causaldata, boot, multcomp, geepack
Repository: https://ander428.r-universe.dev
Date/Publication: 2025-04-25 21:06:10 UTC
RemoteUrl: https://github.com/ander428/causalmodels
RemoteRef: HEAD
RemoteSha: 4a81259939f9be47a294354f4b17f0652799a54a
NeedsCompilation: no
Packaged: 2026-10-11 07:49:57 UTC; root
Author: Joshua Anderson [aut, cre, cph],
  Cyril Rakovski [rev],
  Yesha Patel [rev],
  Erin Lee [rev]