effectsize
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:dragon: Compute and work with indices of effect size and standardized parameters
Should return something like this:  Inputs: - Rules - title (optional) - value name (optional) --- This can then be used to generate the docs / vignettes more easily.
Currently the cohens d (etc) values we compute for paired designs are mean standardized difference scores (dz). Those are rarely what folks think about when they say "Cohen's d" and...
Some code I wrote a while back for computing SMDs from lm output. Could be useful to report effect sizes in terms of standardized betas and Cohen's ds. Most important...
It would be nice to include an option to add the SE or variance in `cohen_d()`, etc. to facilitate use of effectsize with meta-analyses.
Weighting is already implemented in `standardize.default()` and `standardize_parameters()` (and `eta_squared()` via the fit models). Would be nice to have this also (with `weights = ` arg) in: - [ ]...
https://github.com/melissagwolf/dynamic/issues/3 ```R get_dynamic
(Originally part of #5 ) https://doi.org/10.1037/1082-989X.8.4.434
I am thinking about this bit from the documentation: ```r #' @section CI Does Not Contain the Estimate: #' For very large sample sizes, the width of the CI can...
**Describe the bug** I was doing a comparison between the results of `emmeans::eff_size()` and `effectsize::t_to_d()`, and come up with very different results **To Reproduce** ``` r require(effectsize) #> Loading required...
Just saw this preprint that cites performance: https://www.biorxiv.org/content/biorxiv/early/2020/07/26/2020.07.26.221168.full.pdf > Here, we introduce partR2, an R package that quantifies part R2 for fixed effect predictors based on (generalized) linear mixed-effect model...