betaMC
Monte Carlo for Regression Effect Sizes
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 https://doi.org/10.3758/s13428-023-02114-4) and the sampling covariance matrix of regression coefficients (Dudgeon, 2017 https://doi.org/10.1007/s11336-017-9563-z) to generate confidence intervals effect sizes in regression.
- Version1.3.2
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- betaMC citation info
- Last release04/14/2024
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Ivan Jacob Agaloos Pesigan
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