bayesplot
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stan-dev
bayesplot R package for plotting Bayesian models
Not sure if this is something that you've thought about before but decided against, but I quite often want to add an uncertainty interval to the `mcmc_rank_*` functions (not everyone...
With r-devel all.equal(), which is used by expect_equal() in testthat edition 2, also compares _environments_ so ```r expect_equal(ggplot_object_1, ggplot_object_2) ``` now fails when previously it would succeed. We use this...
When running the plotting functions (e.g mcmc_trace) on a cmdstan draws() object, the draws() object gets converted to an array using prepare_mcmc_array. This function currently have a requirement built in...
Hello everyone, I would like to use the function ppc_stat_grouped() on data that includes NAs. `model_subj_shift_brm %>% posterior_predict(draws = 5) %>% ppc_stat_grouped(y = df_all_subjects$answer, group = df_all_subjects$diagnosis, stat = "median")`...
Currently boundary correction generates NAs for values near ends of vector after convolution . Important to note that # of NAs "varies" so `na.omit()` won't work and will cause size...
Really enjoying this package. Thanks for putting it together. Without opening a whole can of worms... would it be possible to add `geom_args` to the list of supported arguments that...
A user on the forum said that they wouldn't mind contributing but felt unsure of what makes a contribution complete. We should add [contributing guidelines](https://help.github.com/en/github/building-a-strong-community/setting-guidelines-for-repository-contributors).
I've found it very useful to have easy access to a 'label' providing a chosen point estimate and density interval, which can be added for example to graphs as a...
We should have a plot like `ppc_ribbon()` but that plots the raw draws instead of computing interval summaries (like `ppc_dens_overlay()` but values not densities, and and x axis predictor or...
Edit: Sorry @tjmahr, that I (Aki) hijack this issue. Implement new plots as described in - Aki Vehtari, Andrew Gelman, Daniel Simpson, Bob Carpenter, Paul-Christian Bürkner (2019): Rank-normalization, folding, and...