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JNplots: Visualize Outputs from the 'Johnson-Neyman' Technique

Aids in the calculation and visualization of regions of non-significance using the 'Johnson-Neyman' technique and its extensions as described by Bauer and Curran (2005) <doi:10.1207/s15327906mbr4003_5> to assess the influence of categorical and continuous moderators. Allows correcting for phylogenetic relatedness.

Version: 0.1.1
Depends: R (≥ 3.5.0), ape, nlme, scales
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-11-24
DOI: 10.32614/CRAN.package.JNplots
Author: Ken Toyama ORCID iD [cre, aut]
Maintainer: Ken Toyama <ken.toyama at mail.utoronto.ca>
License: MIT + file LICENSE
URL: https://github.com/kenstoyama/JNplots
NeedsCompilation: no
Materials: NEWS
CRAN checks: JNplots results

Documentation:

Reference manual: JNplots.pdf

Downloads:

Package source: JNplots_0.1.1.tar.gz
Windows binaries: r-devel: JNplots_0.1.1.zip, r-release: JNplots_0.1.1.zip, r-oldrel: JNplots_0.1.1.zip
macOS binaries: r-release (arm64): JNplots_0.1.1.tgz, r-oldrel (arm64): JNplots_0.1.1.tgz, r-release (x86_64): JNplots_0.1.1.tgz, r-oldrel (x86_64): JNplots_0.1.1.tgz
Old sources: JNplots archive

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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.
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