strucOpt: Optimize a structured GLMM deviance function

In stevencarlislewalker/lme4ord: Generalized Linear Mixed Models with Flexible (Co)Variance Structures

Description

Optimize a structured GLMM deviance function

Usage

strucOpt(optimizer = minqa::bobyqa, initPars, dfun, lower, upper, optVerb,
  optMaxit, ...)

Arguments

optimizer	nonlinear optimization function (currently only minqa::bobyqa is allowed)
initPars	initial parameter values
dfun	structured GLMM deviance function (results of strucMkDevfun or mkGeneralGlmerDevfun)
lower,upper	bounds on the parameter vector
optVerb,optMaxit	controls for the optimizer (see strucGlmer)
...	not used

stevencarlislewalker/lme4ord documentation built on May 30, 2019, 4:43 p.m.