lme4 (version 1.1-7)

nloptwrap: Wrapper for nlOpt optimizers

Description

Wrapper to allow use of nlOpt optimizers for nonlinear optimization stage

Usage

nloptwrap(fn,par,lower,upper,control=list(),...)

Arguments

fn

objective function

par

starting parameter vector

lower

vector of lower bounds

upper

vector of upper bounds

control

list of control parameters

...

additional arguments to be passed to objective function

Value

• par
  estimated parameters
• fval
  objective function value at minimum
• feval
  number of function evaluations
• conv
  convergence code (0 if no error)
• message
  convergence message

Examples

environment(nloptwrap)$defaultControl
library(lme4)
fm1 <- lmer(Reaction~Days+(Days|Subject),sleepstudy)
fm1_nloptr <- update(fm1,control=lmerControl(optimizer="nloptwrap"))
fm1_nloptr_NM <- update(fm1,control=lmerControl(optimizer="nloptwrap",
                            optCtrl=list(algorithm="NLOPT_LN_NELDERMEAD")))
## other algorithm options include NLOPT_LN_COBYLA, NLOPT_LN_SBPLX