Keng: Knock Errors Off Nice Guesses

Miscellaneous functions and data used in Qingyao's psychological research and teaching. Keng currently could test the significance and compute the cut-off values of Pearson's r without raw data. Keng could also compare lm()'s fitted outputs using R-squared and PRE (Proportional Reduction in Error, also called partial R-squared or partial Eta-squared).

Version: 2024.11.02
Imports: stats
Suggests: testthat (≥ 3.0.0)
Published: 2024-11-04
DOI: 10.32614/CRAN.package.Keng
Author: Qingyao Zhang ORCID iD [aut, cre]
Maintainer: Qingyao Zhang <qingyaozhang at outlook.com>
BugReports: https://github.com/qyaozh/Keng/issues
License: CC BY 4.0
URL: https://github.com/qyaozh/Keng
NeedsCompilation: no
Materials: README
CRAN checks: Keng results

Documentation:

Reference manual: Keng.pdf

Downloads:

Package source: Keng_2024.11.02.tar.gz
Windows binaries: r-devel: Keng_2024.11.02.zip, r-release: Keng_2024.11.02.zip, r-oldrel: Keng_2024.11.02.zip
macOS binaries: r-release (arm64): Keng_2024.11.02.tgz, r-oldrel (arm64): Keng_2024.11.02.tgz, r-release (x86_64): Keng_2024.11.02.tgz, r-oldrel (x86_64): Keng_2024.11.02.tgz
Old sources: Keng archive

Linking:

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