R: Ordinary Differential Equations

ode.model {scaRabee}

R Documentation

Ordinary Differential Equations

Description

ode.model is the system evaluation function called when an $ODE block is detected in the model file, indicating that the model is defined by ordinary differential equations. ode.model is typically not called directly by users

Usage

  ode.model(parms = NULL,
            derparms = NULL,
            code = NULL,
            bolus = NULL,
            infusion = NULL,
            xdata = NULL,
            covdata = NULL,
            issim = 0,
            check = FALSE,
            options = list(method='lsoda'))

Arguments

`parms`	A vector of primary parameters.
`derparms`	A list of derived parameters, specified in the $DERIVED block of code.
`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.
`options`	A list of differential equation solver options. Currently not modifiable by users.

Details

ode.model evaluates the model for each treatment of each individual contained in the dataset using several utility functions: derived.parms, init.cond, input.scaling, make.dosing, init.update, and de.output.

The actual evaluation of the system is performed by ode from the deSolve package.

Value

Returns a matrix of system predictions.

Author(s)

Sebastien Bihorel (sb.pmlab@gmail.com)