update documentation

Author: jbytecode

README.md

@@ -9,6 +9,7 @@ A Julia package for outlier detection in linear regression.
 ![](https://raw.githubusercontent.com/jbytecode/LinRegOutliers/master/docs/src/assets/logo.png)
 
 ## Implemented Methods
+
 - Ordinary Least Squares and Weighted Least Squares regression 
 - Regression diagnostics (DFBETA, DFFIT, CovRatio, Cook's Distance, Mahalanobis, Hadi's measure, etc.)
 - Hadi & Simonoff (1993)

docs/src/algorithms.md

@@ -140,6 +140,11 @@ LinRegOutliers.theilsen
 LinRegOutliers.deepestregression
 ```
 
+## Robust Hat Matrix based Initial Subset Regressor
+```@docs
+LinRegOutliers.robhatreg
+```
+
 
 
 

docs/src/index.md

@@ -3,6 +3,7 @@
 A Julia package for outlier detection in linear regression.
 
 ## Implemented Methods
+
 - Ordinary Least Squares and Weighted Least Squares regression 
 - Regression diagnostics (DFBETA, DFFIT, CovRatio, Cook's Distance, Mahalanobis, Hadi's measure, etc.)
 - Hadi & Simonoff (1993)
@@ -32,8 +33,11 @@ A Julia package for outlier detection in linear regression.
 - Hadi (1994) Algorithm
 - Chatterjee & Mächler (1997)
 - Theil-Sen estimator for multiple regression
+- Deepest Regression Estimator
+- Robust Hat Matrix based Initial Subset Regressor
 - Summary
 
+
 [Algorithms](./algorithms.md)