Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

dot-rxGenHdEta

Generate the d(err)/d(eta) values for FO related methods


Description

Generate the d(err)/d(eta) values for FO related methods

Usage

.rxGenHdEta(
  obj,
  predfn,
  pkpars = NULL,
  errfn = NULL,
  init = NULL,
  pred.minus.dv = 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.

pred.minus.dv

Boolean stating if the FOCEi objective function is based on PRED-DV (like NONMEM). Default TRUE.

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+b*f^c)*eps

combined2: transform(y)=transform(f)+(a^2+b^2*f^(2c))*eps

Value

RxODE/symengine environment

Author(s)

Matthew L. Fidler


RxODE

Facilities for Simulating from ODE-Based Models

v1.0.9
GPL (>= 3)
Authors
Matthew L. Fidler [aut] (<https://orcid.org/0000-0001-8538-6691>), Melissa Hallow [aut], Wenping Wang [aut, cre], Zufar Mulyukov [ctb], Alan Hindmarsh [ctb], Awad H. Al-Mohy [ctb], Matt Dowle [ctb], Cleve Moler [ctb], David Cooley [ctb], Drew Schmidt [ctb], Arun Srinivasan [ctb], Ernst Hairer [ctb], Gerhard Wanner [ctb], Goro Fuji [ctb], Hadley Wickham [ctb], Jack Dongarra [ctb], Linda Petzold [ctb], Martin Maechler [ctb], Matteo Fasiolo [ctb], Morwenn [ctb], Nicholas J. Higham [ctb], Roger B. Sidje [ctb], Simon Frost [ctb], Kevin Ushey [ctb], Yu Feng [ctb]
Initial release

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.