search for: pnlstol

...unanswered question: What exactly does "Warning message: Step halving factor reduced below minimum in NLS step in: gnls(model = y ~ 5 + ...)" mean? I have tried to address this by specifying "control = list(maxIter = 1000, pnlsMaxIter = 200, msMaxIter = 1000, tolerance = 1e-06, pnlsTol = 1e-04, msTol = 1e-07, minScale = 1e-10, returnObject = TRUE)" in my model calls, but this does not entirely eliminate the problem (I am running gnls( ) 24 separate times on separate data sets). Much thanks in advance, david paul #Constructing Indicator Variables indicator <- past...

...ean to increase the default value? Will increasing this value lead to more convergence because the criteria is more liberal? Is the tolerance criteria met when the change in the log likelihood is reduced below the specified value, or is it a value other than the log likelihood? What about for the pnlsTol? That is, what is the quantity whose change must be less than pnlsTol to continue? Is there anything wrong with reducing 'minAbsParApVar' to zero (so that a parameter can be fixed across all individuals and thus not have a variance)? Is anything, other than the help file, written about...

...eterized in terms of CL, V1, V2 and Q. basemodel<-nlme(Conc ~TwoCompModel(CL,Q,V1,V2,Time,ID), data = data2, fixed=list(CL+Q+V1+V2~1), random = pdDiag(CL+V1+V2~1), start=c(CL=log(20),Q=log(252),V1=log(24.9),V2=log(120)), control=list(returnObject=TRUE,msVerbose=TRUE, msMaxIter=20,pnlsMaxIter=20,pnlsTol=1), verbose=TRUE). Now, I want to include covariates (age and weight) in the base model. The relationships between CL and covariate is linear and given as the following equation. CL=TVCL+a*wt-b*age, where TVCL is mean clearance, a and b are coefficients of weight and age, respectively. How do I...

...RIPTORS ONLY.csv",sep=",",header=TRUE) #Load in my data set ge$study = as.factor(ge$study) #Force study to be a factor variable gelist = nlsList(RBA~SSBiLin(Molecular.Volume,nu,a,b,c,x0)|study,data=ge) #This is where I get the error contr = nlmeControl(pnlsTol=0.3) ge0.nlme=nlme(gelist,control=contr,verbose=F) ##########Errors####################### > gelist = nlsList(RBA~SSBiLin(Molecular.Volume,nu,a,b,c,x0)|study,data=ge) Error in qr(attr(rhs, "gradient")) : NA/NaN/Inf in foreign function call (arg 1) In addition: Warning message: NaNs...

Hi R-help; In using nlme, I often encounter the following error message: Error in nlme.formula(model = response ~ ......, data = ... : Step halving factor reduced below minimum in PNLS step Resetting the pnlsTol default value does not solve the problem. Any suggestions or workarouds for solving the problem? TIA, Richard -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", &quo...

Dear All, Using:- R : Copyright 2005, The R Foundation for Statistical Computing Version 2.1.1 (2005-06-20), ISBN 3-900051-07-0 and Jose Pinheiro, Douglas Bates, Saikat DebRoy and Deepayan Sarkar (2005). nlme: Linear and nonlinear mixed effects models. R package version 3.1-65. on a WINDOWS 2000 machine I am trying to run the scripts from the Mixed Models book and am running into some

This concerns the "Clinical Study of Quinidine" example on page 380 of the book "Mixed-Effects Models in S and S-PLUS" by Pinheiro and Bates (2000). I have tried to reproduce the example, but get an error: > library(nlme) > fm1Quin.nlme <- nlme(conc ~ quinModel(Subject, time, conc, dose, interval, lV, lKa, lCl), + data=Quinidine, +

Dear list members, the following hlm was constructed: hlm <- groupedData(laut ~ design | grpzugeh, data = imp.not.I) the grouped data object is located at and can be downloaded: www.anicca-vijja.de/lg/hlm_example.Rdata The following works: library(nlme) summary( fitlme <- lme(hlm) ) with output: ... AIC BIC logLik 425.3768 465.6087 -197.6884 Random effects: