search for: mlkyld

...ations. Is this because the nlme function is slightly different and if so, is there a way to solve this problem? The code I am using is below: W3<-deriv(~A*ti^exp(logB)*exp(-exp(logC)*ti),c("A","logB","logC"), function(ti,A,logB,logC){}) Lact.nlme<-{nlme(model=MLKYLD~W3(DIM,A,logB,logC), fixed=A+logB+logC~1, random=A+logB+logC~1|ID, data=LacData.x0, start=c(13.41143,log(0.152792),log(0.002494)), control=nlmeControl(msMaxIter=200), verbose=T) } Any help or advice would be greatly appreciated, Evelyn -- Evelyn Hall PhD Student Faculty of Vet...

Hi, I would like to know how (if) I can extract some of the information from the summary of my nlme. at present, I get a summary looking something like this: > summary(fit.nlme) Nonlinear mixed-effects model fit by maximum likelihood Model: MLKYLD ~ W4(DIM, logA, B, C) Data: ADHIS.x0 AIC BIC logLik 265314 265401.6 -132647 Random effects: Formula: list(logA ~ 1 , B ~ 1 , C ~ 1 ) Level: ID Structure: General positive-definite StdDev Corr logA 0.480476962 logA B B 0.140839992 -0.855 C 0....