diagnosticsgbs {gbs}R Documentation

Influence diagnostics plots for the GBSD

Description

The function diagnosticsgbs() produces an index plot of total local influence.

Usage

  diagnosticsgbs(x, kernel = "normal", mainTitle = "", yRange = NULL)

Arguments

x Vector of observations.
kernel Kernel of the pdf of the associated symmetrical distribution by means of which the GBSD is obtained. The kernels: "laplace", "logistic", "normal" and "t" are available.
mainTitle An overall title for the plot.
yRange Limit for the y axis.

Details

The Cook's local influence diagnostics method (1986) is used to evaluate the local influence by means of likelihood displacement.

Value

diagnosticsgbs() gives an influence diagnostics through a graphical plot for the GBSD from a sample of observations.

Author(s)

Barros, Michelli <michelli.karinne@gmail.com>
Leiva, Victor <victor.leiva@uv.cl, victor.leiva@yahoo.com>
Paula, Gilberto A. <giapaula@ime.usp.br>

References

Cook, R.D. (1986) Assessment of local influence (with discussion). J. Royal Stat. Soc. B 48: 133-169.

Sanhueza, A., Leiva, V., Balakrishnan, N. (2008) The generalized Birnbaum-Saunders distribution and its theory, methodology and application. Comm. Stat. Theory and Meth. 37:645-670.

Examples

## Generates a sample from the GBSD with normal kernel
x <- rgbs(300, alpha = 1.0, beta = 1.0, nu = 1.0, kernel = "normal")

## Produces influence diagnostics for the GBSD with normal kernel
diagnosticsgbs(x, kernel = "normal")

[Package gbs version 1.0 Index]