# Variance-Covariance Matrix in R (corpcor, covmat)

The following tutorial demonstrates how to calculate a variance-covariance matrix in R, along with shrinkage estimate of…

Data Scientist

The following tutorial demonstrates how to calculate a variance-covariance matrix in R, along with shrinkage estimate of…

Ordinary Least Squares (OLS) is one of the most commonly used forms of regression analysis. We use…

When working with a time series, one important thing we wish to determine is whether one series…

A Chow test is designed to determine whether a structural break in a time series exists. That…

The following example illustrates how text mining capabilities in Python and R can be used in order…

A neural network is a computational system frequently employed in machine learning to create predictions based on…

Non-normal data is a common occurrence when conducting data analysis. When we work with a particular dataset…

Decision trees are a highly useful visual aid in analysing a series of predicted outcomes for a…

We have already seen the basics of setting up quantmod in R to be able to obtain…

One of the big issues when it comes to working with data in any context is the…