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The posterior R package

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When variables are vector/matrix they are stored in a tibble named as a[i,j]. @jgabry and I were talking about whether there was some utility of creating a convenience function that...

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My first big test of multicore `summarise_draws` on a really big (~9 GB in memory) array plowed straight into the swap on my 40 GB machine and I had to...

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efficiency

In #130 the speed when regex=FALSE was improved. When regex=TRUE @mjskay suggested: > You might be able to speed up the regex version by translating the input list of regexes...

efficiency

This is related to #17 but slightly more specific. At some point I think it would be good to have rvars that behave like factors, as at the very least...

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The discussion in #32 reminded me that one thing @andrewgelman and others have been wanting for a while (and that I think would also be useful as an alternative to...

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Per discussion with @avehtari , it would be good to provide functionality to automate thinning of samples with autocorrelation using the `thin` method and among other strategies, the lags mentioned...

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Im impressed by the progress. Since Im finalizing the posteriordb beta, I realized that it would be good to formalize also how a posterior is represented as json. This would...

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question

I think it might be possible to compute the rank statistics for [simulation-based calibration](https://arxiv.org/abs/1804.06788) using `summarize_draws()`. Here is a sketch that gets at the idea: ```r library(posterior) prior_predictive_draw

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I believe that the pillar package (used by tibble) permits custom colors, in which case it would be useful to color the contents of the diagnostics columns (rhat, bulk_ess, tail_ess)...

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We discussed at some point, that we want to have a common place where a lot of the generics should life that packages such as rstanarm, brms, etc. use. Right...

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