icaod_info: 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 known eMax

Description

If e0 is assumed unknown and eMax is assumed known in the td2pLL model, the optimal design will propose a support point in dose=0, but not in the maximal dose. To assume additionally that eMax is unknown, use icaod_info_noEmax.

Usage

icaod_info(x, w, param)

Arguments

x	(numeric(2*7)) Contains the current support points under consideration where first all time coordinates are stored in x and then all dose coordinates.
w	(numeric(7)) Weights of the support points. sum(w) must be 1.
param	(numeric(5)) Contains assumed true parameters for e0, h, delta, gamma, c0 where the value of e0 has no effect on the optimal design calculation as it is a linear parameter.

Value

Information matrix of dimension 5 times 5.

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