Xs: Model prediction function for ODE models.

In dMod: Dynamic Modeling and Parameter Estimation in ODE Models

Description

Interface to combine an ODE and its sensitivity equations into one model function x(times, pars, deriv = TRUE) returning ODE output and sensitivities.

Usage

Xs(
  odemodel,
  forcings = NULL,
  events = NULL,
  names = NULL,
  condition = NULL,
  optionsOde = list(method = "lsoda"),
  optionsSens = list(method = "lsodes")
)

Arguments

odemodel	object of class odemodel
forcings	data.frame with columns name (factor), time (numeric) and value (numeric). The ODE forcings.
events	data.frame of events with columns "var" (character, the name of the state to be affected), "time" (numeric, time point), "value" (numeric, value), "method" (character, either "replace", "add" or "multiply"). See events. ATTENTION: Sensitivities for event states will only be correctly computed if defined within odemodel(). Specify events within Xs() only for forward simulation.
names	character vector with the states to be returned. If NULL, all states are returned.
condition	either NULL (generic prediction for any condition) or a character, denoting the condition for which the function makes a prediction.
optionsOde	list with arguments to be passed to odeC() for the ODE integration.
optionsSens	list with arguments to be passed to odeC() for integration of the extended system

Value

Object of class prdfn. If the function is called with parameters that result from a parameter transformation (see P), the Jacobian of the parameter transformation and the sensitivities of the ODE are multiplied according to the chain rule for differentiation. The result is saved in the attributed "deriv", i.e. in this case the attibutes "deriv" and "sensitivities" do not coincide.

dMod documentation built on Jan. 27, 2021, 1:07 a.m.