docs: Update links

README.md

@@ -39,7 +39,7 @@ In addition, the following comparisons are also implemented:
 
 Most fairness measures are computed based on the confusion matrix resulting from fitting a binary classification model.
 
-The comprehensive tutorial on using the package is provided in [this blogpost](https://kozodoi.github.io/blog/r/fairness/packages/2020/05/01/fairness-tutorial.html).
+The comprehensive tutorial on using the package is provided in [this blogpost](https://kozodoi.me/r/fairness/packages/2020/05/01/fairness-tutorial.html).
 
 
 ## Installation
@@ -61,7 +61,7 @@ library(fairness)
 
 ## Fairness pipeline
 
-You will find a brief tutorial in the fairness vignette. We recommend that you spend some time going through the vignette, as it contains a much more in-depth description of the fairness package compared to this brief readme. The more detailed tutorial is also available in [this blogpost](https://kozodoi.github.io/blog/r/fairness/packages/2020/05/01/fairness-tutorial.html).
+You will find a brief tutorial in the fairness [vignette](https://github.com/kozodoi/fairness/blob/master/vignettes/fairness.Rmd). We recommend that you go through the vignette, as it contains a more in-depth description of the fairness package compared to this brief README. The more detailed tutorial is also available in [this blogpost](https://kozodoi.github.io/blog/r/fairness/packages/2020/05/01/fairness-tutorial.html).
 
 ```r
 vignette('fairness')