bookdown 1.1.0 html

Author: Solomon Kurz

_book/01.md

@@ -1,7 +1,7 @@
 ---
 title: "Chapter 01. The Golem of Prague"
 author: "A Solomon Kurz"
-date: "2020-02-29"
+date: "2020-03-01"
 output:
   github_document
 ---

_book/02.md

@@ -1,7 +1,7 @@
 ---
 title: "Chapter 02. Small Worlds and Large Worlds"
 author: "A Solomon Kurz"
-date: "2020-02-29"
+date: "2020-03-01"
 output:
   github_document
 ---

_book/03.md

@@ -1,7 +1,7 @@
 ---
 title: "Chapter 03. Sampling the Imaginary"
 author: "A Solomon Kurz"
-date: "2020-02-29"
+date: "2020-03-01"
 output:
   github_document
 ---

_book/04.md

@@ -1,7 +1,7 @@
 ---
 title: "Ch. 4 Linear Models"
 author: "A Solomon Kurz"
-date: "2020-02-29"
+date: "2020-03-01"
 output:
   github_document
 ---
@@ -768,7 +768,7 @@ d_grid_samples %>%
 
 That `labeller = label_parsed` bit in the `facet_wrap()` function is what converted our subplot strip labels into Greek. Anyway, $\sigma$ is not so Gaussian with that small $n$.
 
-This is the point in the project where we hop off the grid-approximation train. On the one hand, I think this is a great idea. Most of y'all reading this will never use grid approximation in a real-world applied data analysis. On the other hand, there is some pedagogical utility in practicing with it. It can help you grasp what it is we're dong when we apply Bayes' theorem. If you'd like more practice, check out the first several chapters in [Kruschke's (2014) textbook](https://sites.google.com/site/doingbayesiandataanalysis/) and the corresponding chapters in [my project translating it into brms and tidyverse](https://bookdown.org/ajkurz/DBDA_recoded/).
+This is the point in the project where we hop off the grid-approximation train. On the one hand, I think this is a great idea. Most of y'all reading this will never use grid approximation in a real-world applied data analysis. On the other hand, there is some pedagogical utility in practicing with it. It can help you grasp what it is we're dong when we apply Bayes' theorem. If you'd like more practice, check out the first several chapters in [Kruschke's (2015) textbook](https://sites.google.com/site/doingbayesiandataanalysis/) and the corresponding chapters in [my project translating it into brms and tidyverse](https://bookdown.org/content/3686).
 
 ### Fitting the model with ~~`map`~~ `brm()`.
 

_book/05.md

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 ---
 title: "Ch. 5 Multivariate Linear Models"
 author: "A Solomon Kurz"
-date: "2020-02-29"
+date: "2020-03-01"
 output:
   github_document
 ---

_book/06.md

@@ -1,7 +1,7 @@
 ---
 title: "Ch. 6 Overfitting, Regularization, and Information Criteria"
 author: "A Solomon Kurz"
-date: "2020-02-29"
+date: "2020-03-01"
 output:
   github_document
 ---

_book/07.md

@@ -1,7 +1,7 @@
 ---
 title: "Ch. 7 Interactions"
 author: "A Solomon Kurz"
-date: "2020-02-29"
+date: "2020-03-01"
 output:
   github_document
 ---

_book/07_files/figure-gfm/unnamed-chunk-44-1.png

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 ---
 title: "Ch. 8 Markov Chain Monte Carlo"
 author: "A Solomon Kurz"
-date: "2020-02-29"
+date: "2020-03-01"
 output:
   github_document
 ---