explicit.model {scaRabee}

Explicit Equations

Description

explicit.model is the system evaluation function called when neither $ODE or $DDE blocks are detected in the model file, indicating that the model is defined by explicit equations. explicit.model is typically not called directly by users.

Usage

  explicit.model(parms = NULL,
                 derparms = NULL,
                 code = NULL,
                 bolus = NULL,
                 infusion = NULL,
                 xdata = NULL,
                 covdata = NULL,
                 issim = 0,
                 check = FALSE)

Arguments

parms

A vector of primary parameters.

derparms

A list of derived parameters, specified in the $DERIVED block of code. (NULL for explicit.model).

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.

bolus

A data.frame providing the instantaneous inputs entering the system of delay differential equations for the treatment and individual being evaluated.

infusion

A data.frame providing the zero-order inputs entering the system of delay differential equations for the treatment and individual being evaluated.

xdata

A vector of times at which the system is being evaluated.

covdata

A data.frame of covariate data for the treatment and individual being evaluated.

issim

An indicator for simulation or estimation runs.

check

An indicator whether checks should be performed to validate function inputs.

Details

explicit.model evaluates the model for each treatment of each individual contained in the dataset, based upon the code specified in the $OUTPUT block in the model file.

Value

Returns a matrix of system predictions.

Author(s)

Sebastien Bihorel ([e-mail])