R: Evaluation of structural and residual variability models

problem.eval {scaRabee}

R Documentation

Evaluation of structural and residual variability models

Description

problem.eval is a secondary function called during estimation runs. It evaluates the structural model and the residual variability model at given point estimates and at given values of the time variable. problem.eval is typically not called directly by users.

Usage

  problem.eval(subproblem = NULL,
               x = NULL,
               grid = FALSE,
               check = FALSE)

Arguments

`subproblem`	A list containing the following levels: code A list of R code extracted from the model file. Depending on content of the model file, the levels of this list could be: template, derived, lags, ode, dde, output, variance, and/or secondary. method A character string, indicating the scale of the analysis. Should be 'population' or 'subject'. init A data.frame of parameter data with the following columns: 'names', 'type', 'value', 'isfix', 'lb', and 'ub'. debugmode Logical indicator of debugging mode. modfun Model function. data A list containing the following levels: xdata 1 x m matrix of time of observations of the dependent variables. data m x 3 data.frame containing the times of observations of the dependent variables (extracted from the TIME variable), the indicators of the type of dependent variables (extracted from the CMT variable), and the actual dependent variable observations (extracted from the DV variable). bolus bij x 4 data.frame providing the instantaneous inputs for a treatment and individual. infusion fij x (4+c) data.frame providing the zero-order inputs for a treatment and individual. cov mij x c data.frame containing the times of observations of the dependent variables (extracted from the TIME variable) and all the covariates identified for this particular treatment.
`x`	A vector of numerical estimates of numerical parameters.
`grid`	A logical variable, indicating whether the analysis is a direct grid search or not.
`check`	An indicator whether checks should be performed to validate function inputs.

Value

Return a list of two elements:

f: A vector of model evaluations at all requested time points (all states values are concatenated into a single vector).
weight: A vector of residual variability related to the model evaluations.

Author(s)