Parsimonious model

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, which 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 requisite package that is needed to create a parsimonious model of our longley economic dataset:
> install.packages('devtools')Installing package into 'C:/Users/Radhika/Documents/R/win-library/3.5'(as 'lib' is unspecified)trying URL '' ...

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