downsizing_general_design: Downsize a general design to a specific design

In PopED: Population (and Individual) Optimal Experimental Design

Description

Function takes a design with potentially empty design variables and rescues the design so that a FIM can be calculated using mftot.

Usage

downsizing_general_design(poped.db)

Arguments

poped.db

A PopED database

Value

A list containing:

ni	A vector of the number of samples in each group.
xt	A matrix of sample times. Each row is a vector of sample times for a group.
model_switch	A matrix that is the same size as xt, specifying which model each sample belongs to.
x	A matrix for the discrete design variables. Each row is a group.
a	A matrix of covariates. Each row is a group.
bpop	A matrix of fixed effect parameter values.

See Also

Other poped_input: convert_variables(), create.poped.database(), create_design_space(), create_design(), poped.choose()

PopED documentation built on May 21, 2021, 5:08 p.m.