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Hi bayesplot team,
Thank you for making a brilliant and very usable package. The mcmc_scatter plot is very useful for visualizing the correlations between two known parameters. However it is not useful at visualizing which parameters are correlated in general. mcmc_pairs will do this in detail, but is hard to implement and prohibitively slow for more than a dozen or so paramters.
I suggest a heatmap of correlations: first, calculate pairwise correlations between (a subset of) parameters; second, plot a heatmap using geom_tile with the correlations as fill. That would be a quick visual cue to what is correlated with what.
Please accept my apologies if this was already discussed.
Edward
The text was updated successfully, but these errors were encountered:
@ewallace Sorry for the slow response. It's been a busy few weeks. Thanks for the suggestion! I don't think this has been proposed for the package before. Any interest in trying it out and reporting back? A pull request is always welcome of course, but even just a simple single example is great and we can take it from there.
Hi bayesplot team,
Thank you for making a brilliant and very usable package. The mcmc_scatter plot is very useful for visualizing the correlations between two known parameters. However it is not useful at visualizing which parameters are correlated in general. mcmc_pairs will do this in detail, but is hard to implement and prohibitively slow for more than a dozen or so paramters.
I suggest a heatmap of correlations: first, calculate pairwise correlations between (a subset of) parameters; second, plot a heatmap using geom_tile with the correlations as fill. That would be a quick visual cue to what is correlated with what.
Please accept my apologies if this was already discussed.
Edward
The text was updated successfully, but these errors were encountered: