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 finite Gaussian Mixtures of Experts models using a range of parsimonious covariance with the help of EM/CEM algorithms.
The following steps are implemented to create a parsimonious model with a visual representation:
- Install the following package, which is needed to create a parsimonious model of our automobile Autompg dataset:
> 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' ...
