Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse_2_ed icon indicating copy to clipboard operation
Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse_2_ed copied to clipboard

The bookdown version lives here:

Results 12 Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse_2_ed issues
Sort by recently updated
recently updated
newest added

In section 4.3.6 the base R version `t(apply(post[, 1:2], 2, quantile, probs = c(.5, .025, .75)))` doesn't have a parallel tidyverse version. One can use a solution like this: ```...

* 2.3.3: "which expresses the model assumption that the entire range of possible values for $p$, $[0, 1]$, are equally plausible"--the right brace is currently missing in $[0, 1 \color{red}]$...

It appears as the variables in the four panel dag in 15.2.1 are not in the correct order. Page 500 in Rethinking 2nd edition

In Section 2.2.2, make sure you use the `n` argument within `lag()`. The current code uses `k`, as if you were using the `lag()` function from the **stats** package. You,...

I am new to Bayesian statistics and generally do not have much experience with statistics. In reading McElreath Statistical Rethinking, I enjoy very much your translation to the tidyverse approach....

In Section 17.10, I list several twitter profiles. Remove: * [Danielle Navarro](https://twitter.com/djnavarro) * [Julia Silge](https://twitter.com/juliasilge) Add: * [Ben Bolker](https://twitter.com/bolkerb) * [Stephen John Senn](https://twitter.com/stephensenn)

McElreath is a little inconsistent with how he talks about residuals. The typical definition of residuals now a days is $$r_i = y_i - \hat y_i,$$ but in McCullagh &...

This is largely fixed. However, two main types of cases remain: * The `linewidth` parameter isn't fully supported by **tidybayes** and **ggdist**, yet. Based on GitHub (see [here](https://github.com/mjskay/ggdist/issues/138)), it looks...

Make sure to thank:

In [Section 16.3.2](https://bookdown.org/content/4857/generalized-linear-madness.html#coding-the-statistical-model.), McElreath fit a mixture of unobserved strategies. On page 534, we see his statistical model was: He fit the model using `rstan::stan()` and already has his Stan...

help wanted