diagnosticsig {ig} | R Documentation |
The function diagnosticsig()
produces an index plot of the total local influence.
diagnosticsig(data, kernel = "normal", main = "", ylim = NULL)
data |
Vector of observations. |
kernel |
Kernel of the pdf of the associated symmetrical distribution by means of which the IGTD is obtained.
The kernels: "Laplace" , "logistic" , "normal" and "t" are available.
When the t kernel is considered, the value for the parameter nu must be incorporated. |
main |
An overall title for the plot. |
ylim |
Limit for the y axis. |
The local influence diagnostics method (Cook, 1986) is used to evaluate the local influence by means of likelihood displacement.
diagnosticsig()
gives an influence diagnostics through a graphical plot for the IGTD from a sample of observations.
Víctor Leiva <victor.leiva@uv.cl>, Hugo Hernández <hugo.hernandez@msn.com>, and Antonio Sanhueza <asanhue@ufro.cl>.
Cook, R. D. and Weisberg, S. (1982). Residuals and Influence in Regression. Chapman and Hall, London.
Cook, R. D. (1986). Assessment of local influence (with discussion). Journal of the Royal Statistical Society Series B 48, 133-169.
Sanhueza, A., Leiva, V. and Balakrishnan, N. (2007). A new class of inverse Gaussian type distributions. Metrika (in press).
## Generates a sample from the IGTD ## Produces influence diagnostics for the IGTD with g="normal" x<-rig(300,mu=1,lambda=1,kernel="normal") diagnosticsig(x, kernel="normal")