# BC

**Repository Path**: ivanlee1997/BC

## Basic Information

- **Project Name**: BC
- **Description**: No description available
- **Primary Language**: HTML
- **License**: Not specified
- **Default Branch**: dev_insolia
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-10-15
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README


[![HitCount](http://hits.dwyl.io/UniprJRC/FSDA.svg)](http://hits.dwyl.io/UniprJRC/FSDA)
[![Build Status](https://travis-ci.com/UniprJRC/FSDA.svg?branch=master)](https://travis-ci.com/UniprJRC/FSDA)
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[![Build Status](https://dev.azure.com/aldocorbellini0395/FSDA/_apis/build/status/UniprJRC.FSDA%20(1)?branchName=master)](https://dev.azure.com/aldocorbellini0395/FSDA/_build/latest?definitionId=2&branchName=master)

You can start to familiarize with the FSDA toolbox in one of the following ways.

A. Run the examples contained in files examples_regression.m or examples_multivariate.m or examples_categorical.m 
   Notice that all examples are organized in cells

B. Run the tutorials in the FSDA Matlab help pages 

C. Watch the videos in the Examples section of the FSDA Matlab help pages 

D. Read section "Introduction to robust statistics" or 
	"Technical introduction to Robust Statistics" in the FSDA Matlab help pages 

E. Read "Function reference page" in the FSDA Matlab help pages