Message-ID: <e474b379050813162662727148@mail.gmail.com>
Date: 2005-08-13T23:26:05Z
From: Eduardo Leoni
Subject: monte carlo simulations/lmer
Hi - I am doing some monte carlo simulations comparing bayesian (using
Plummer's jags) and maximum likelihood (using lmer from package lme4
by Bates et al).
I would like to know if there is a way I can flag nonconvergence and
exceptions. Currently the simulations just stop and the output reads
things like:
Error in optim(.Call("lmer_coef", x, 2, PACKAGE = "Matrix"), fn, gr,
method = "L-BFGS-B", :
L-BFGS-B needs finite values of 'fn'
In addition: Warning message:
Leading minor of size 1 of downdated X'X is indefinite
Error in .local(object, ...) : Leading 2 minor of Omega[[1]] not
positive definite
In addition: Warning messages:
1: optim or nlminb returned message ERROR: ABNORMAL_TERMINATION_IN_LNSRCH
in: "LMEoptimize<-"(`*tmp*`, value = list(maxIter = 200, msMaxIter = 200,
2: optim or nlminb returned message ERROR: ABNORMAL_TERMINATION_IN_LNSRCH
in: "LMEoptimize<-"(`*tmp*`, value = list(maxIter = 200, msMaxIter = 200,
thanks for any help.
-eduardo