Parsimonious model

Parsimonious models are simple models with great explanatory predictive powers. They usually explain data with a minimum number of parameters, or predictor variables. MoEClust is the required R package that fits finite Gaussian Mixtures of Experts models using a range of parsimonious covariance with the help of EM/CEM algorithms.

The following steps need to be carried out to perform parsimonious data analysis:

1. Install the following package, which is needed to create a parsimonious model of our Glass Identification dataset as follows:

> install.packages('devtools')
Installing package into 'C:/Users/Radhika/Documents/R/win-library/3.5'
        
          (as 'lib' is unspecified)
        
          trying URL 'https://cran.rstudio.com/bin/windows/contrib/3.5/devtools_2.0.2.zip'
        
          Content type 'application...