rglindley_mix: Random Generator of a Generalized Lindley Mixture

In matheuscastro43/finiteMix: Finite Mixture Models

Random Generator of a Generalized Lindley Mixture

Description

Generates random samples of a univariate Generalizeed Lindley Mixture.

Usage

 rglindley_mix(n, pi, alpha, beta, gamma, plot.it = TRUE, empirical = FALSE, 
               col.pop = "red3", col.empirical = "navy", ...)

Arguments

n	number of observations.
pi	vector of mixture weights.
alpha	vector of parameters.
beta	vector of parameters.
gamma	vector of parameters.
plot.it	logical; if TRUE (default), plot the histogram with estimated distribution curve.
empirical	logical; if TRUE, add the empirical curve ("Kernel Density Estimation") in the plot.
col.pop	a colour to be used in the curve of population density.
col.empirical	a colour to be used in the curve of empirical density.
...	further arguments and graphical parameters passed to hist.

Author(s)

CASTRO, M. O.; MONTALVO, G. S. A.

Examples

## Generate a sample.
data = rglindley_mix(n = 1000, pi = c(0.6, 0.4), alpha = c(2, 6),
                     beta = c(2, 3), gamma = c(4, 2))

## Sample vector.
data$sample
## The histogram of the sample with population density curve.
data$plot

## Not plotting the graphic.
rglindley_mix(n = 1000, pi = c(0.6, 0.4), alpha = c(2, 6), beta = c(2, 3),
              gamma = c(4, 2), plot.it = FALSE)

## Adding the empirical curve to the graphic.
rglindley_mix(n = 1000, pi = c(0.6, 0.4), alpha = c(2, 6), beta = c(2, 3),
              gamma = c(4, 2), plot.it = TRUE,
              empirical = TRUE)

## Changing the color of the curves.
rglindley_mix(n = 1000, pi = c(0.6, 0.4), alpha = c(2, 6), beta = c(2, 3),
              gamma = c(4, 2), plot.it = TRUE,empirical = TRUE, 
              col.pop = "blue", col.empirical = "green")

## Using "...".
rglindley_mix(n = 1000, pi = c(0.6, 0.4), alpha = c(2, 6), beta = c(2, 3), 
              gamma = c(4, 2), breaks = 300)

matheuscastro43/finiteMix documentation built on March 30, 2022, 12:49 p.m.