causaldata: Example Data Sets for Causal Inference Textbooks

Example data sets to run the example problems from causal inference textbooks. Currently, contains data sets for Huntington-Klein, Nick (2021) "The Effect" <https://theeffectbook.net>, Cunningham, Scott (2021, ISBN-13: 978-0-300-25168-5) "Causal Inference: The Mixtape", and Hernán, Miguel and James Robins (2020) "Causal Inference: What If" <https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/>.

Version: 0.1.3
Depends: R (≥ 2.10)
Imports: tibble
Published: 2021-12-01
DOI: 10.32614/CRAN.package.causaldata
Author: Nick Huntington-Klein ORCID iD [aut, cre], Malcolm Barrett ORCID iD [aut]
Maintainer: Nick Huntington-Klein <nhuntington-klein at seattleu.edu>
BugReports: https://github.com/NickCH-K/causaldata/issues
License: MIT + file LICENSE
URL: https://github.com/NickCH-K/causaldata
NeedsCompilation: no
Materials: NEWS
In views: CausalInference
CRAN checks: causaldata results

Documentation:

Reference manual: causaldata.pdf

Downloads:

Package source: causaldata_0.1.3.tar.gz
Windows binaries: r-devel: causaldata_0.1.3.zip, r-release: causaldata_0.1.3.zip, r-oldrel: causaldata_0.1.3.zip
macOS binaries: r-release (arm64): causaldata_0.1.3.tgz, r-oldrel (arm64): causaldata_0.1.3.tgz, r-release (x86_64): causaldata_0.1.3.tgz, r-oldrel (x86_64): causaldata_0.1.3.tgz
Old sources: causaldata archive

Reverse dependencies:

Reverse imports: CausalModels
Reverse suggests: jointVIP, marginaleffects, stdReg2

Linking:

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