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Hello,
I suggest adding the parametric confidence interval around the eta squared effect size to the library pingouin.compute_esci.
There is a method to calculate it, based on the confidence limits for non-central F parameters. Here are some papers about it: http://www.ww.w.statpower.net/Steiger%20Biblio/Steiger04.pdf https://link.springer.com/article/10.3758/s13428-012-0228-7
This method is implemented in the MBESS package in R (conf.limits.ncf() function): https://cran.r-project.org/web//packages/MBESS/MBESS.pdf In Python, the function scipy.stats.ncf() could be of help to do it.
Thanks,
Federico
The text was updated successfully, but these errors were encountered:
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Hello,
I suggest adding the parametric confidence interval around the eta squared effect size to the library pingouin.compute_esci.
There is a method to calculate it, based on the confidence limits for non-central F parameters. Here are some papers about it:
http://www.ww.w.statpower.net/Steiger%20Biblio/Steiger04.pdf
https://link.springer.com/article/10.3758/s13428-012-0228-7
This method is implemented in the MBESS package in R (conf.limits.ncf() function):
https://cran.r-project.org/web//packages/MBESS/MBESS.pdf
In Python, the function scipy.stats.ncf() could be of help to do it.
Thanks,
Federico
The text was updated successfully, but these errors were encountered: