rxSEinner: Setup Pred function based on RxODE object.
In RxODE: Facilities for Simulating from ODE-Based Models

rxSEinner

R Documentation

Setup Pred function based on RxODE object.

Description

This is for the so-called inner problem.

Usage

rxSEinner(
  obj,
  predfn,
  pkpars = NULL,
  errfn = NULL,
  init = NULL,
  grad = FALSE,
  sum.prod = FALSE,
  pred.minus.dv = TRUE,
  only.numeric = FALSE,
  optExpression = TRUE,
  interaction = TRUE,
  ...,
  promoteLinSens = TRUE,
  theta = FALSE,
  addProp = c("combined2", "combined1")
)

rxSymPySetupPred(
  obj,
  predfn,
  pkpars = NULL,
  errfn = NULL,
  init = NULL,
  grad = FALSE,
  sum.prod = FALSE,
  pred.minus.dv = TRUE,
  only.numeric = FALSE,
  optExpression = TRUE,
  interaction = TRUE,
  ...,
  promoteLinSens = TRUE,
  theta = FALSE,
  addProp = c("combined2", "combined1")
)

Arguments

`obj`	RxODE object
`predfn`	Prediction function
`pkpars`	Pk Pars function
`errfn`	Error function
`init`	Initialization parameters for scaling.
`grad`	Boolaen indicated if the the equations for the gradient be calculated
`sum.prod`	A boolean determining if RxODE should use more numerically stable sums/products.
`pred.minus.dv`	Boolean stating if the FOCEi objective function is based on PRED-DV (like NONMEM). Default TRUE.
`only.numeric`	Instead of setting up the sensitivities for the inner problem, modify the RxODE to use numeric differentiation for the numeric inner problem only.
`optExpression`	Optimize the model text for computer evaluation.
`interaction`	Boolean to determine if dR^2/deta is calculated for FOCEi (not needed for FOCE)
`promoteLinSens`	Promote solved linear compartment systems to sensitivity-based solutions.
`theta`	Calculate THETA derivatives instead of ETA derivatives. By default FALSE
`addProp`	one of "combined1" and "combined2"; These are the two forms of additive+proportional errors supported by monolix/nonmem: combined1: transform(y)=transform(f)+(a+bf^c)eps combined2: transform(y)=transform(f)+(a^2+b^2f^(2c))eps