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For Probabilistic models, the [Quick Start Guide](https://alan-turing-institute.github.io/MLJ.jl/dev/quick_start_guide_to_adding_models/#Predict/Transform-1) says the returned value of `predict` shoul…
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I think it should be made more explicit (especially for the Bayesian methods) how Partial and Rank correlation are actually obtained.
- These are not "true" Bayesian rank correlations (which have …
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https://github.com/donaldRwilliams/BGGM
Seems like a nice package that could be supported in bayestestR, parameters and see (and correlation?).
However, the model's class is simply "estimate" so…
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Opening a new thread as we strayed from the topic of #7
> > this correspondence between test statistics and indices of effect size is quite convenient in some cases... What would be the alternative…
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## Missing functionality
Configuration is always a big problem for me.
When I was beginner of PP, I didn’t know how to set various parameters for my data set and my ML case, the used time and m…
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as shown by @lindeloev, Spearman correlations can be estimated using a rank transformation. Hence, it might be interesting to develop a more flexible framework for robust spearman-like correlations no…
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Hi,
I was looking for an implementation of the Wack et al. metrics and stumbled across your code. Thanks.
I think there is a small issue [here](https://github.com/csudre/EvaluationCharacterisation…
fliem updated
4 years ago
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Pearson's correlation coefficient estimate is different depending on whether `bayesian` is set to `TRUE` or `FALSE`:
``` r
library(correlation)
set.seed(123)
tibble::as_tibble(correlation(iris…
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Hi,
This could point to a potential bug/improvement, though currently is more of a question.
I have specified 38 cores in my config.yaml file, however, over the past 24 hours that I have been run…
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**Submitting author:** @jonschwenk (Jon Schwenk)
**Repository:** https://github.com/jonschwenk/RivGraph
**Version:** v0.4
**Editor:** @kbarnhart
**Reviewer:** @eriknes, @leotrs
**Archive:** 10.5281/ze…