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Effect sizes for experimental trials analyzed with multilevel growth models: Two of two

solomonkurz.netlify.app · published 22 April 2021

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Effect sizes for experimental trials analyzed with multilevel growth models: One of two Read at the source ↗
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https://github.com/paul-buerkner/brms
github.com
https://mjskay.github.io/tidybayes/
mjskay.github.io
http://style.tidyverse.org
style.tidyverse.org
https://tibble.tidyverse.org/reference/tribble.html
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https://solomonkurz.netlify.app/tags/bayesian
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https://solomonkurz.netlify.app/tags/brms
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https://solomonkurz.netlify.app/tags/effect-size
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https://solomonkurz.netlify.app/tags/longitudinal
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https://solomonkurz.netlify.app/tags/multilevel
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https://solomonkurz.netlify.app/tags/tidyverse
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https://solomonkurz.netlify.app/tags/tutorial
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Within-person factorial experiments, log(normal) reaction-time data Read at the source ↗
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Learn Stan with brms, Part III Read at the source ↗
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Learn Stan with brms, Part II Read at the source ↗
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https://doi.org/10.18637/jss.v080.i01
doi.org
https://doi.org/10.32614/RJ-2018-017
doi.org
https://CRAN.R-project.org/package=brms/brms.pdf
cran.r-project.org
https://CRAN.R-project.org/package=brms
cran.r-project.org
https://doi.org/10.1037/a0014699
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https://doi.org/10.1037/a0030048
doi.org
https://doi.org/10.3102/10769986006002107
doi.org
https://CRAN.R-project.org/package=tidybayes
cran.r-project.org
https://www.R-project.org/
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https://us.sagepub.com/en-us/nam/hierarchical-linear-models/book9230
us.sagepub.com
https://doi.org/10.1037/1082-989X.6.4.387
doi.org
https://oxford.universitypressscholarship.com/view/10.1093/acprof:oso/9780195152968.001.0001/acprof-9780195152968
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https://CRAN.R-project.org/package=tidyverse
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https://doi.org/10.21105/joss.01686
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