posterior
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The posterior R package
`?weight_draws` says `Add weights to draws objects, with one weight per draw, for use in subsequent weighting operations.` Currently the only supported subsequent operation is `resample_draws()`, but the documentation doesn't...
As per the initial [**brms** issue](https://github.com/paul-buerkner/brms/issues/1263#issuecomment-962179422), it would be handy if the `as_draws()` functions returned a `.warmup` meta column in cases where the user desires the output to include the...
A low-priority enhancement, but something that could be nice for data frame-based workflows with rvars would be to allow data frames to be input as quantiles / probs in the...
The current summary output looks like this: ``` > fit_hmc$summary(c("mu", "tau")) # A tibble: 2 x 10 variable mean median sd mad q5 q95 rhat ess_bulk ess_tail 1 mu -0.0825...
Add a diagnostic comparing ESS with all iterations and ESS with half of the iterations (could be average of the first and second half). If CLT holds, then we expect...
We don’t necessarily need it for the beta release, but just starting an issue to decide what content we should include in a vignette or several. I could imagine one...
In #117 I wrote > I don't know if this would make sense but adding here, that there could be something that would show the mcse in compact format. I...
The arviz team present their InferenceData format at StanCon this year and I wanted to open this issue as a reminder to discuss whether posterior should support this format as...
Currently `summarise_draws` applies the summary functions to all variables. In some cases it could be useful to summarise specific variables with specific functions, akin to `dplyr:summarise`. This would also allow...
The current convergence warnings in our packages (e.g., in rstan and brms) are inconsistent and partly confusing to users. Examples are given in https://discourse.mc-stan.org/t/improve-warnings-for-low-ess/15355. Other examples include warnings because of...