May 2019
Beginner to intermediate
266 pages
5h 57m
English
Content preview from Hands-On Exploratory Data Analysis with R
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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:
- 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' ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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