Ordinal regression (#55)

* added esoph dataset

* renamed everything to 01-10 and added template of ordinal

* added CairoMakie and AoG

* changed ordering of the other content

* draft ordinal-regression

* added CategoricalArrays and Bijectors

* final draft ordinal-regression

* fix date in ordinal_reg

Project.toml

@@ -1,6 +1,10 @@
 [deps]
+AlgebraOfGraphics = "cbdf2221-f076-402e-a563-3d30da359d67"
 BenchmarkTools = "6e4b80f9-dd63-53aa-95a3-0cdb28fa8baf"
+Bijectors = "76274a88-744f-5084-9051-94815aaf08c4"
 CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
+CairoMakie = "13f3f980-e62b-5c42-98c6-ff1f3baf88f0"
+CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
 Chain = "8be319e6-bccf-4806-a6f7-6fae938471bc"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 DifferentialEquations = "0c46a032-eb83-5123-abaf-570d42b7fbaa"

README.md

@@ -89,18 +89,19 @@ To configure a local environment:
 
 ## Tutorials
 
-1. [**Why Julia?**](https://storopoli.github.io/Bayesian-Julia/pages/1_why_Julia/)
-2. [**What is Bayesian Statistics?**](https://storopoli.github.io/Bayesian-Julia/pages/2_bayes_stats/)
-3. [**Common Probability Distributions**](https://storopoli.github.io/Bayesian-Julia/pages/3_prob_dist/)
-4. [**How to use Turing**](https://storopoli.github.io/Bayesian-Julia/pages/4_Turing/)
-5. [**Markov Chain Monte Carlo (MCMC)**](https://storopoli.github.io/Bayesian-Julia/pages/5_MCMC/)
-6. [**Bayesian Linear Regression**](https://storopoli.github.io/Bayesian-Julia/pages/6_linear_reg/)
-7. [**Bayesian Logistic Regression**](https://storopoli.github.io/Bayesian-Julia/pages/7_logistic_reg/)
-8. [**Bayesian Regression with Count Data**](https://storopoli.github.io/Bayesian-Julia/pages/8_count_reg/)
-9. [**Robust Bayesian Regression**](https://storopoli.github.io/Bayesian-Julia/pages/9_robust_reg/)
-10. [**Multilevel Models (a.k.a. Hierarchical Models)**](https://storopoli.github.io/Bayesian-Julia/pages/10_multilevel_models/)
-11. [**Computational Tricks with Turing (Non-Centered Parametrization and QR Decomposition)**](https://storopoli.github.io/Bayesian-Julia/pages/11_Turing_tricks/)
-12. [**Epidemiological Models using ODE Solvers in Turing**](https://storopoli.github.io/Bayesian-Julia/pages/12_epi_models/)
+1. [**Why Julia?**](https://storopoli.github.io/Bayesian-Julia/pages/01_why_Julia/)
+2. [**What is Bayesian Statistics?**](https://storopoli.github.io/Bayesian-Julia/pages/02_bayes_stats/)
+3. [**Common Probability Distributions**](https://storopoli.github.io/Bayesian-Julia/pages/03_prob_dist/)
+4. [**How to use Turing**](https://storopoli.github.io/Bayesian-Julia/pages/04_Turing/)
+5. [**Markov Chain Monte Carlo (MCMC)**](https://storopoli.github.io/Bayesian-Julia/pages/05_MCMC/)
+6. [**Bayesian Linear Regression**](https://storopoli.github.io/Bayesian-Julia/pages/06_linear_reg/)
+7. [**Bayesian Logistic Regression**](https://storopoli.github.io/Bayesian-Julia/pages/07_logistic_reg/)
+8. [**Bayesian Ordinal Regression**](https://storopoli.github.io/Bayesian-Julia/pages/08_ordinal_reg/)
+9. [**Bayesian Regression with Count Data**](https://storopoli.github.io/Bayesian-Julia/pages/09_count_reg/)
+10. [**Robust Bayesian Regression**](https://storopoli.github.io/Bayesian-Julia/pages/10_robust_reg/)
+11. [**Multilevel Models (a.k.a. Hierarchical Models)**](https://storopoli.github.io/Bayesian-Julia/pages/11_multilevel_models/)
+12. [**Computational Tricks with Turing (Non-Centered Parametrization and QR Decomposition)**](https://storopoli.github.io/Bayesian-Julia/pages/12_Turing_tricks/)
+13. [**Epidemiological Models using ODE Solvers in Turing**](https://storopoli.github.io/Bayesian-Julia/pages/13_epi_models/)
 
 ## Datasets
 
@@ -193,4 +194,4 @@ The references are divided in **books**, **papers**, **software**, and **dataset
 
 This content is licensed under [Creative Commons Attribution-ShareAlike 4.0 Internacional](http://creativecommons.org/licenses/by-sa/4.0/).
 
-[![CC BY-SA 4.0](https://licensebuttons.net/l/by-sa/4.0/88x31.png)](http://creativecommons.org/licenses/by-sa/4.0/)
+[![CC BY-SA 4.0](https://licensebuttons.net/l/by-sa/4.0/88x31.png)](http://creativecommons.org/licenses/by-sa/4.0/)