DESCRIPTION

Package: betaMC
Title: Monte Carlo for Regression Effect Sizes
Version: 1.3.2.9000
Authors@R: 
    person(given = "Ivan Jacob Agaloos",
           family = "Pesigan",
           role = c("aut", "cre", "cph"),
           email = "r.jeksterslab@gmail.com",
           comment = c(ORCID = "0000-0003-4818-8420"))
Description: Generates Monte Carlo confidence intervals
    for standardized regression coefficients (beta) and other effect sizes,
    including multiple correlation, semipartial correlations,
    improvement in R-squared, squared partial correlations,
    and differences in standardized regression coefficients,
    for models fitted by lm().
    'betaMC' combines ideas from Monte Carlo confidence intervals for the indirect effect
    (Pesigan and Cheung, 2023 <doi:10.3758/s13428-023-02114-4>)
    and the sampling covariance matrix of regression coefficients
    (Dudgeon, 2017 <doi:10.1007/s11336-017-9563-z>)
    to generate confidence intervals effect sizes in regression.
URL: https://github.com/jeksterslab/betaMC, https://jeksterslab.github.io/betaMC/
BugReports: https://github.com/jeksterslab/betaMC/issues
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
Depends:
    R (>= 3.5.0)
Imports:
    stats
Suggests:
    knitr,
    rmarkdown,
    testthat,
    MASS,
    mice,
    Amelia
RoxygenNote: 7.3.2