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CITATION.cff
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# -----------------------------------------------------------
# CITATION file created with {cffr} R package, v0.5.0
# See also: https://docs.ropensci.org/cffr/
# -----------------------------------------------------------
cff-version: 1.2.0
message: 'To cite package "betaMC" in publications use:'
type: software
license: MIT
title: 'betaMC: Monte Carlo for Regression Effect Sizes'
version: 1.3.0.9000
doi: 10.3758/s13428-023-02114-4
abstract: 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.
authors:
- family-names: Pesigan
given-names: Ivan Jacob Agaloos
email: r.jeksterslab@gmail.com
orcid: https://orcid.org/0000-0003-4818-8420
preferred-citation:
type: article
title: Monte Carlo confidence intervals for the indirect effect with missing data
authors:
- family-names: Pesigan
given-names: Ivan Jacob Agaloos
email: r.jeksterslab@gmail.com
orcid: https://orcid.org/0000-0003-4818-8420
- family-names: Cheung
given-names: Shu Fai
email: shufai.cheung@gmail.com
orcid: https://orcid.org/0000-0002-9871-9448
year: '2023'
doi: 10.3758/s13428-023-02114-4
journal: Behavior Research Methods
notes: R package version 1.3.0.9000
repository: https://packagemanager.rstudio.com/all/__linux__/jammy/latest/
repository-code: https://github.com/jeksterslab/betaMC
url: https://jeksterslab.github.io/betaMC/
contact:
- family-names: Pesigan
given-names: Ivan Jacob Agaloos
email: r.jeksterslab@gmail.com
orcid: https://orcid.org/0000-0003-4818-8420
keywords:
- confidence-intervals
- monte-carlo
- r
- r-package
- regression-effect-sizes
- standardized-regression-coefficients