Parsimonious models are simple models with great explanatory predictive power. They usually explain data with a minimum number of parameters, or predictor variables. MoEClust is the required R package that fits the finite Gaussian mixtures of experts' models. It uses a range of parsimonious covariance with the help of EM/CEM algorithms.
The steps to be carried out to perform parsimonious data analysis are as follows:
- It is important to install the requisite package for parsimonious model creation of our bank 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' ...