grad_td2pLL: Gradient function of the td2pLL model

In jcduda/td2pLL: Fitting a time-dose two-parameter log-logistic model to time-dose-response data

Gradient function of the td2pLL model

Description

For details on the td2pLL model, see fit_td2pLL

Usage

grad_td2pLL(time, dose, h, delta, gamma, c0)

Arguments

time	(numeric(1))
dose	(numeric(1))
h	(numeric(1))
delta	(numeric(1))
gamma	(numeric(1))
c0	(numeric(1))

Value

numeric(5) Gradient vector of the td2pLL model at given parameters.
Note that the first entry is a 1 for the intercept. In the the td2pLL model, it is assumed to be 100. However, for initial normalization, it is important to consider this parameter as unknown for optimal design calculations.

jcduda/td2pLL documentation built on May 14, 2022, 6:48 p.m.