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:dragon: Compute and work with indices of effect size and standardized parameters

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Hmm this paper seem to suggest that such negative values should be replaced with 0? > The results presented in this article assure researchers that the common practice of replacing...

First attempt at providing the sr2 (#154). There are currently three aliases. Demo: ``` r devtools::load_all(".") library(rempsyc) m Parameter sr2 #> 1 (Intercept) NA #> 2 cyl 0.007338114 #> 3...

For paired samples (or one-sample), the rank-biserial correlation gives a (seemingly) odd result when there are ties with the `mu` argument. For example (code below), if I use the `sleep`...

enhancement 🔥
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Open a new issue / pr to discuss improving the CI covered for ***all*** of these methods - since they are all monotonic transformations of one another, it makes sense...

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Examine small sample coverage (what does R use?)

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See doi:10.1080/00949655.2013.766189

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- ~~R https://doi.org/10.2466/pms.98.1.3-18~~ the R effect size here is Epsilon squared. - Cohen's q https://github.com/easystats/correlation/issues/264 - root-mean-square standardized effect (Steiger, J. H. (2004))

enhancement 🔥

Hello! Thank you for all the work you have done with this package. It is terrific! I have a question. I am assessing common language effect size with a sample...

The confidence intervals for the effect size of repeated measures calculated by the rm_d() function do not match the results of other existing functions. For example, the following two outputs...