lmm {ig}R Documentation

Analitical second derivative with respect to mu

Description

Compute the second analitical derivative of the loglikelihood with respest to mu

Usage

lmm(theta, x, kernel = "normal", nu = 1.0)

Arguments

theta Vector of parameters mu and lambda.
x Vector of observations.
kernel Kernel of the pdf of the associated symmetrical distribution by means of which the IGTD is obtained.
nu Additional parameter of the IGTD when the t kernel is used.

Author(s)

Víctor Leiva <victor.leiva@uv.cl>, Hugo Hernández <hugo.hernandez@msn.com>, and Antonio Sanhueza <asanhue@ufro.cl>.

References

Sanhueza, A., Leiva, V. and Balakrishnan, N. (2007). A new class of inverse Gaussian type distributions. Metrika (in press).


[Package ig version 1.0 Index]