grad_td2pLL_noEmax: Gradient function of the td2pLL model when Emax=-100 is NOT...

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

Gradient function of the td2pLL model when Emax=-100 is NOT known

Description

For details on the td2pLL model, see fit_td2pLL

Usage

grad_td2pLL_noEmax(time, dose, h, delta, gamma, c0, Emax)

Arguments

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

Value

numeric(6) 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. The last entry is not the derivate by Emax which is assumed fixed at -100 in the td2pLL model. It is know assumed unknown so that in the optimal design, measurements for larger doses are also recommended.

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