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:
- 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 'https://cran.rstudio.com/bin/windows/contrib/3.5/devtools_2.0.2.zip'
Content type 'application/zip' length 383720 bytes (374 KB)
downloaded 374 KB
package...
