gradH: Derivation of quantile from hypoexponential distribution with...

In szugat/predfat: What the package does (short line)

Description

Derivation of quantile from hypoexponential distribution with respect to theta

Usage

gradH(x, y, theta, lambda, gradient, type)

Arguments

x	values of influental variable for the link function
y	values of depedent variable
theta	numeric vector of length four with link function's parameters
lambda	[function(theta, x)] link function for exponential distribution
gradient	[function(x, theta, ...)] gradient of link function
type	[integer] if link function is not given a collection of given link function is available, see linkfun

Value

derivation of quantile from hypoexponential distribution with respect to theta

szugat/predfat documentation built on May 31, 2019, 12:50 a.m.