mixture_plots: mixture_plots

In dCUR: Dimension Reduction with Dynamic CUR

mixture_plots

Description

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

Usage

mixture_plots(data)

Arguments

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

Details

Gaussian Mixture Models Plots

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.

Author(s)

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

References

\insertRef

Mahoney697dCUR \insertRefvillegas2018modelodCUR \insertRefdynamyCURdCUR

See Also

dCUR CUR

Examples

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

dCUR documentation built on Oct. 18, 2023, 5:10 p.m.