gen_saem_user_fn: Generate an SAEM model

In nlmixr: Nonlinear Mixed Effects Models in Population PK/PD

Generate an SAEM model

Description

Generate an SAEM model using either closed-form solutions or ODE-based model definitions

Usage

gen_saem_user_fn(
  model,
  PKpars = attr(model, "default.pars"),
  pred = NULL,
  err = NULL,
  control = saemControl(),
  inPars = NULL
)

Arguments

model	a compiled SAEM model by gen_saem_user_fn()
PKpars	PKpars function
pred	pred function; This will be a focei-style pred
inPars	a character vector of parameters to be read from the input dataset (including time varying covariates)

Details

Fit a generalized nonlinear mixed-effect model using the Stochastic Approximation Expectation-Maximization (SAEM) algorithm

Value

A user function based on the model to run the SAEM code

Author(s)

Matthew Fidler & Wenping Wang

nlmixr documentation built on March 27, 2022, 5:05 p.m.