Package: Keng
Title: Knock Errors Off Nice Guesses
Version: 2024.11.25
Authors@R: 
    person("Qingyao","Zhang",,"qingyaozhang@outlook.com", c("aut", "cre"),
           comment = c(ORCID = "0000-0002-6891-5982"))
Description: Miscellaneous functions and data used in Qingyao's psychological research and teaching. 
    Keng currently has a built-in dataset depress, and could (1) scale a vector, 
    (2) test the significance and compute the cut-off values of Pearson's r without raw data, 
    (3) compare lm()'s fitted outputs using R-squared, f_squared, post-hoc power, 
    and PRE (Proportional Reduction in Error, also called partial R-squared or partial Eta-squared). 
    (4) Calculate PRE from partial correlation, Cohen's f, or f_squared. 
    (5) Compute the post-hoc power for one or a set of predictors in regression analysis without raw data, 
    (6) Plan the sample size for one or a set of predictors in regression analysis.
License: CC BY 4.0
Language: en-US
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: stats
Suggests: knitr, rmarkdown, car, effectsize, testthat (>= 3.0.0)
Config/testthat/edition: 3
URL: https://github.com/qyaozh/Keng
BugReports: https://github.com/qyaozh/Keng/issues
Depends: R (>= 2.10)
LazyData: true
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-11-24 19:08:32 UTC; Yao
Author: Qingyao Zhang [aut, cre] (<https://orcid.org/0000-0002-6891-5982>)
Maintainer: Qingyao Zhang <qingyaozhang@outlook.com>
Repository: CRAN
Date/Publication: 2024-11-24 19:20:02 UTC
