dCUR (version 1.0.1)

mixture_plots: mixture_plots

Description

This function returns different plots associated with the fitting of leverages scores through Mixture Gaussian Models.

Usage

mixture_plots(data)

Value

mixture_plots returns a list with the following plots:

BIC

BIC Plot of the Bayesian Information Criterion (BIC) for each number of mixture components. E and V stands for equal variance in mixture components or variable variance, respectively.

density

leverages score's density

Cumulative

cumulative density of leverages scores.

QQPlot

Plot the sample quantiles and controlled quantiles of the inverse of the cumulative distribution function.

Arguments

data

An object resulting from a call to CUR when "mixture" is specified as cur_method.

Author

Cesar Gamboa-Sanabria, Stefany Matarrita-Munoz, Katherine Barquero-Mejias, Greibin Villegas-Barahona, Mercedes Sanchez-Barba and Maria Purificacion Galindo-Villardon.

Details

Gaussian Mixture Models Plots

References

Mahoney697dCUR villegas2018modelodCUR dynamyCURdCUR

See Also

dCUR CUR

Examples

# \donttest{
results <- CUR(data=AASP, variables=hoessem:notabachillerato,
k=20, rows = .9999999, columns = .10, standardize = TRUE,
cur_method = "mixture")
mixture_plots(results)
# }