explicit.model: 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)

Value

Returns a matrix of system predictions.

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.

Author

Sebastien Bihorel (sb.pmlab@gmail.com)

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.