Reorganise user guide

Author: penelopeysm

_quarto.yml

@@ -50,52 +50,49 @@ website:
     - text: documentation
       collapse-level: 1
       contents:
-        - section: "Users"
-          # href: tutorials/index.qmd, This page will be added later so keep this line commented
-          contents:
-          - tutorials/docs-00-getting-started/index.qmd
-          - tutorials/docs-12-using-turing-guide/index.qmd
+        - getting-started/index.qmd
+        - core-functionality/index.qmd
 
-          - section: "Usage Tips"
-            collapse-level: 1
-            contents:
-              - tutorials/docs-10-using-turing-autodiff/index.qmd
-              - tutorials/usage-custom-distribution/index.qmd
-              - tutorials/usage-probability-interface/index.qmd
-              - tutorials/usage-modifying-logprob/index.qmd
-              - tutorials/usage-generated-quantities/index.qmd
-              - tutorials/docs-17-mode-estimation/index.qmd
-              - tutorials/docs-13-using-turing-performance-tips/index.qmd
-              - tutorials/docs-15-using-turing-sampler-viz/index.qmd
-              - tutorials/docs-11-using-turing-dynamichmc/index.qmd
-              - tutorials/docs-16-using-turing-external-samplers/index.qmd
-
-          - section: "Tutorials"
-            contents:
-              - tutorials/00-introduction/index.qmd
-              - text: Gaussian Mixture Models
-                href: tutorials/01-gaussian-mixture-model/index.qmd
-              - tutorials/02-logistic-regression/index.qmd
-              - tutorials/03-bayesian-neural-network/index.qmd
-              - text: Hidden Markov Models
-                href: tutorials/04-hidden-markov-model/index.qmd
-              - tutorials/05-linear-regression/index.qmd
-              - text: Infinite Mixture Model
-                href: tutorials/06-infinite-mixture-model/index.qmd
-              - tutorials/07-poisson-regression/index.qmd
-              - text: Multinomial Logistic Regression
-                href: tutorials/08-multinomial-logistic-regression/index.qmd
-              - text: Variational Inference
-                href: tutorials/09-variational-inference/index.qmd
-              - text: "Bayesian Differential Equations"
-                href: tutorials/10-bayesian-differential-equations/index.qmd
-              - text: "Probabilistic PCA"
-                href: tutorials/11-probabilistic-pca/index.qmd
-              - tutorials/13-seasonal-time-series/index.qmd
-              - text: "Introduction to Gaussian Processes"
-                href: tutorials/15-gaussian-processes/index.qmd
-              - text: "Gaussian Process Latent Variable Models"
-                href: tutorials/12-gplvm/index.qmd
+        - section: "Usage Tips"
+          collapse-level: 1
+          contents:
+            - tutorials/docs-10-using-turing-autodiff/index.qmd
+            - tutorials/usage-custom-distribution/index.qmd
+            - tutorials/usage-probability-interface/index.qmd
+            - tutorials/usage-modifying-logprob/index.qmd
+            - tutorials/usage-generated-quantities/index.qmd
+            - tutorials/docs-17-mode-estimation/index.qmd
+            - tutorials/docs-13-using-turing-performance-tips/index.qmd
+            - tutorials/docs-15-using-turing-sampler-viz/index.qmd
+            - tutorials/docs-11-using-turing-dynamichmc/index.qmd
+            - tutorials/docs-16-using-turing-external-samplers/index.qmd
+
+        - section: "Tutorials"
+          contents:
+            - tutorials/00-introduction/index.qmd
+            - text: Gaussian Mixture Models
+              href: tutorials/01-gaussian-mixture-model/index.qmd
+            - tutorials/02-logistic-regression/index.qmd
+            - tutorials/03-bayesian-neural-network/index.qmd
+            - text: Hidden Markov Models
+              href: tutorials/04-hidden-markov-model/index.qmd
+            - tutorials/05-linear-regression/index.qmd
+            - text: Infinite Mixture Model
+              href: tutorials/06-infinite-mixture-model/index.qmd
+            - tutorials/07-poisson-regression/index.qmd
+            - text: Multinomial Logistic Regression
+              href: tutorials/08-multinomial-logistic-regression/index.qmd
+            - text: Variational Inference
+              href: tutorials/09-variational-inference/index.qmd
+            - text: "Bayesian Differential Equations"
+              href: tutorials/10-bayesian-differential-equations/index.qmd
+            - text: "Probabilistic PCA"
+              href: tutorials/11-probabilistic-pca/index.qmd
+            - tutorials/13-seasonal-time-series/index.qmd
+            - text: "Introduction to Gaussian Processes"
+              href: tutorials/15-gaussian-processes/index.qmd
+            - text: "Gaussian Process Latent Variable Models"
+              href: tutorials/12-gplvm/index.qmd
 
         - section: "Developers"
           contents:

…als/docs-12-using-turing-guide/index.qmd core-functionality/index.qmdtutorials/docs-12-using-turing-guide/index.qmd renamed to core-functionality/index.qmd tutorials/docs-12-using-turing-guide/index.qmd renamed to core-functionality/index.qmd

@@ -1,6 +1,8 @@
 ---
 title: "Core Functionality"
 engine: julia
+aliases:
+  - ../tutorials/docs-12-using-turing-guide/index.html
 ---
 
 ```{julia}

…orials/docs-00-getting-started/index.qmd getting-started/index.qmdtutorials/docs-00-getting-started/index.qmd renamed to getting-started/index.qmd tutorials/docs-00-getting-started/index.qmd renamed to getting-started/index.qmd

@@ -2,7 +2,7 @@
 title: Getting Started
 engine: julia
 aliases:
-   - ../../
+  - ../tutorials/docs-00-getting-started/index.html
 ---
 
 ```{julia}