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contrastable: Consistent Contrast Coding for Factors

Quickly set and summarize contrasts for factors prior to regression analyses. Intended comparisons, baseline conditions, and intercepts can be explicitly set and documented without the user needing to directly manipulate matrices. Reviews and introductions for contrast coding are available in Brehm and Alday (2022)<doi:10.1016/j.jml.2022.104334> and Schad et al. (2020)<doi:10.1016/j.jml.2019.104038>.

Version: 1.0.2
Imports: cli, crayon, glue, MASS, purrr, rlang (≥ 0.1.2), stats, tidyselect
Suggests: dplyr, knitr, testthat (≥ 3.0.0), roxygen2, rmarkdown, covr, hypr
Published: 2024-10-01
DOI: 10.32614/CRAN.package.contrastable
Author: Thomas Sostarics ORCID iD [aut, cre, cph]
Maintainer: Thomas Sostarics <tsostarics at gmail.com>
BugReports: https://github.com/tsostarics/contrastable/issues
License: MIT + file LICENSE
URL: https://github.com/tsostarics/contrastable
NeedsCompilation: no
Citation: contrastable citation info
Materials: README NEWS
CRAN checks: contrastable results

Documentation:

Reference manual: contrastable.pdf
Vignettes: Contrastable Overview (source, R code)
Warnings, Messages, and Errors (source, R code)

Downloads:

Package source: contrastable_1.0.2.tar.gz
Windows binaries: r-devel: contrastable_1.0.2.zip, r-release: contrastable_1.0.2.zip, r-oldrel: contrastable_1.0.2.zip
macOS binaries: r-release (arm64): contrastable_1.0.2.tgz, r-oldrel (arm64): contrastable_1.0.2.tgz, r-release (x86_64): contrastable_1.0.2.tgz, r-oldrel (x86_64): contrastable_1.0.2.tgz

Linking:

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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.