search for: msscale

I am using package nlme and would like to specify initial values for a linear mixed-effects model to help with convergence. I am trying to specify those initial values using the msScale option under ?control? in the lme() function: lme(Y ~ X1, random= ~ X1|X2, control=list(msScale=lmeScale)) where, (as far as I understand), lmeScale is a function that can take initial values for parameters. However, I am unsure about how to input those starting values (e.g., what names lme will...

...py to hear from anyone who has an idea on what parameters in gnlsControl to change to get convergence. Cheers Dan Coleman Genentech Inc. > gnlsControl function (maxIter = 50, nlsMaxIter = 7, msMaxIter = 50, minScale = 0.001, tolerance = 1e-06, nlsTol = 0.001, msTol = 1e-07, msScale = lmeScale, returnObject = FALSE, msVerbose = FALSE, apVar = TRUE, .relStep = (.Machine$double.eps)^(1/3), nlmStepMax = 100, opt = c("nlminb", "optim"), optimMethod = "BFGS", minAbsParApVar = 0.05) { list(maxIter = maxIter, nlsMaxIter = nlsMaxI...

...terative fitting of the model works mathematically) I was 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 m...