diagnosticsgbs {gbs} | R Documentation |
The function diagnosticsgbs()
produces an index plot of total
local influence.
diagnosticsgbs(x, kernel = "normal", mainTitle = "", yRange = NULL)
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. |
The Cook's local influence diagnostics method (1986) is used to evaluate the local influence by means of likelihood displacement.
diagnosticsgbs()
gives an influence diagnostics through a graphical
plot for the GBSD from a sample of observations.
Barros, Michelli <michelli.karinne@gmail.com>
Leiva, Victor <victor.leiva@uv.cl, victor.leiva@yahoo.com>
Paula, Gilberto A. <giapaula@ime.usp.br>
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.
## 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")