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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
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=causaldata to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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