bayesplot

bayesplot copied to clipboard

Allow multivariate transformations of parameters in mcmc plots

1

Currently the `transformations` argument to the `mcmc_*` functions only handles univariate transformations (i.e., transformations of scalar parameters).

jgabry

legend border on ppc_freqpoly_grouped

1

Not sure what's going on here. ```r library(bayesplot) y

tjmahr

unify argument defaults for density-like plots

1

This is something I noticed while reviewing `ppc_dens_overlay()`. The density defaults were hard-coded for `ppc_dens_overlay()` but not for these similar functions. ```r mcmc_areas

tjmahr

Expose functions that return data used for plotting

1

Suggested by @tjmahr. Currently the ggplot objects returned by bayesplot can be modified using many of the ggplot2 functions but some things are hard or impossible to change once the...

jgabry

Visual Predictive Check

9

It would be great to have a so-called visual predictive check. To exemplify it I include an example in the form of a simple R script. This plot is very...

wds15

Make most plotting functions methods

2

I think it would help usability to make the various functions methods. I love that the functions are frontend agnostic and take arrays or data frames, but it would make...

jrnold

mcmc_recover_intervals extensions - bias + coverage

9

Hi! I just discovered the intervals function which looks great! I know that I should put all of my parameters one the unit-scale, but in practice I sometimes don't do...

wds15

Already in progress on `group2` branch.

jgabry

Hi We preparing the next release of ggplot2 and our reverse dependency checks show that your package is failing with the new version. It seems some of the tests are...

thomasp85

Most of the models do include parameters that do make the posterior predictive mean to match the observed mean, and the test statistic "mean" is perfectly dependent and not ancillary...

avehtari