# PlotsML: Cumulative Distribution Plot and Kernel Density Plot for the Fitted GB2

## Description

Function `plotsML.gb2`

produces two plots. The first is a plot of the empirical cumulative distribution function versus the fitted cumulative distibution function.
The second is a plot of the kernel density versus the fitted GB2 density. Function `saveplot`

saves locally the produced plot.

## Usage

plotsML.gb2(z, shape1, scale, shape2, shape3, w=rep(1,length(z)))
saveplot(name, pathout)

## Arguments

z

numeric; vector of data values.

w

numeric; vector of weights. Must have the same length as `z`

. By default `w`

is a vector of 1.

shape1

numeric; positive parameter.

scale

numeric; positive parameter.

shape2, shape3

numeric; positive parameters of the Beta distribution.

name

string; the name of the plot.

pathout

string; the path of the folder or device where the plot will be saved.

## Details

The used kernel is "Epanechnikov" (see `plot`

).