LinMatrixH

A matrix that is the same size as xt, specifying which model each sample belongs to.

model_switch

A vector of the individual/group sample times

xt_ind

A matrix for the discrete design variables. Each row is a group.

A matrix of covariates. Each row is a group.

The fixed effects parameter values. Supplied as a vector.

bpop

vector of individual realization of the BSV terms b

b_ind

Vector of individual realizations of the BOV terms bocc

bocc_ind

poped.db

The function performs a linearization of the model with respect to the residual variability.
Derivative of model w.r.t. eps evaluated at eps=0

internal

Optimal experimental designs for both population and individual
studies based on nonlinear mixed-effect models. Often this is based on a
computation of the Fisher Information Matrix. This package was developed
for pharmacometric problems, and examples and predefined models are available
for these types of systems. The methods are described in Nyberg et al.
(2012) <doi:10.1016/j.cmpb.2012.05.005>, and Foracchia et al. (2004)
<doi:10.1016/S0169-2607(03)00073-7>.

LinMatrixH: Model linearization with respect to epsilon.

Description

Usage

Arguments

Value

See Also