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2006 Feb 15
1
no convergence using lme
...wondering if anyone knew if there was anything else in the control
values I should try changing.
Below are the defaults..
lmeControl
function (maxIter = 50, msMaxIter = 50, tolerance = 1e-06, niterEM = 25,
msTol = 1e-07, msScale = lmeScale, msVerbose = FALSE, returnObject =
FALSE,
gradHess = TRUE, apVar = TRUE, .relStep = (.Machine$double.eps)^(1/3),
minAbsParApVar = 0.05, nlmStepMax = 100, optimMethod = "BFGS",
natural = TRUE)
I was reading on the R listserve that lmer from the lme4 package may be
preferable to lme (for convergence problems) but lmer seems t...
2003 Feb 04
0
Help with NLME
...a.max + a.qe + lcp ~ 1 | bench/line,
start = list(fixed=c(17.4305, 0.182444, 0.00928341, -0.00057221,
44.8384, 8.67678)),
method="ML", verbose=T,
control = nlmeControl(maxIter=250, msMaxIter=200, pnlsMaxIter=20,
gradHess=TRUE, returnObject=TRUE, niterEM=100))
What I'd like to do is to compare reduced models with something like
random = list(a.max ~ 1 | bench, a.qe + lcp ~ 1 | bench/line)
i.e., to drop the nested term on each of the coefficients one by one so that
I can do and anova() to compare the mo...