icaod_info_noEmax: Information matrix for 'locally()' assuming unknown e0 and...

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

Information matrix for locally() assuming unknown e0 and unknown eMax

Description

If e0 is assumed unknown and eMax is assumed unknown in the td2pLL model (where usually we assume e0=100 and eMax=100 for dytotoxicity assays) the optimal design will propose a support point in dose=0 and in the maximal dose. To assume that eMax is known, use icaod_info.

Usage

icaod_info_noEmax(x, w, param)

Arguments

x	(numeric(2*8)) Contains the current support points under consideration where first all time coordinates are stored in x and then all dose coordinates.
w	(numeric(8)) Weights of the support points. sum(w) must be 1.
param	(numeric(6)) Contains assumed true parameters for e0, h, delta, gamma, c0, Emax where the values of e0 and Emax have no effect on the optimal design calculation because they are linear parameter.

Value

Information matrix of dimension 6 times 6.

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