similar to: "Ran out of iterations and did not converge"

Dear R users: I am using survreg for modeling left censored longitudinal data. When I am using the following code for fitting the tobit model I am getting some output with an warning message(highlighted with red color): > survreg(Surv(y, y>=0, type='left')~x + frailty(id), cytokine.data, weight=w, dist='gaussian', scale=1) Call: survreg(formula = Surv(y, y >= 0, type

Dear All, I am doing a parametric survival analysis with: fit <- survreg(Surv(xyz$start, xyz$stop, xyz$event, type="interval") ~ 1, dist='loglogistic') At this point I do not want to look into covariates, hence the '~1' as model formulation. As event types I have exact, interval, and right censored lifetime data. Everything works fine. For reasons that are

Hello, I am using survreg for a simulation where data is randomly generated from a Weibull distribution and the model parameters estimated. When this is embedded within a loop and the process repeated for different datasets, the program aborts after a few runs in most cases giving the following message: Error in survreg.fit(X, Y, weights, offset, init = init, controlvals = control, :

Hi, I'm trying to fit a tobit regression model to some data. When fitting the exact same data in Stata, I have no problems at all, however R won't converge. Its not a maxiters thing, since I've tried increasing this already. I need to be able to fit the model in R since there are users of the code that don't have a Stata license. The code is: require(AER) left = 3.218476 x =

Dear All, I am using excel.link package to open and modify Excel files. When I manually open Excel, all my add-ins are loaded without a problem. But when I open Excel using excel.link package, like: xls<-xl.get.excel() xl.workbook.open("MyFile.xlsx") some Excel add-ins are (installed but) not loaded. Since the problem is related to local add-ins at my side, I cannot reproduce the

I noticed I get echo on line when my internet connection is congested (during file downloads, for instance). Can you verify this isn't your problem? > -----Original Message----- > From: Doug Reid - Stormcorp [mailto:doug@stormcorp.co.za] > Sent: Tuesday, December 14, 2004 3:06 PM > To: Asterisk Users Mailing List - Non-Commercial Discussion > Subject: RE: [Asterisk-Users]

Linking my VC++ application with the standalone Rmath library yields the following; ------ Build started: Project: Complex plugin, Configuration: Debug Win32 ------ Linking... Creating library .\../Debug/complex_plugin.lib and object .\../Debug/complex_plugin.exp libRmath.a(mlutils.o) : warning LNK4217: locally defined symbol __iob imported in function _REprintf libRmath.a(dbeta.o) :

On 2/13/2018 11:47 PM, Ayhan yuksel wrote: > Hi, > > I am using two packages (quantmod and FRAPO) > > Quantmod and FRAPO both have a class names "zoo" > > R is displaying the following warning when I manipulate an object of class > zoo: > > Found more than one class "zoo" in cache; using the first, from namespace > 'quantmod' >

Hi, James, I've tested the AGC function, and I want it for fixed-point version, would you please tell me where can get the patch file of the AGC function, for fixed-point?? thank you very much Brs Oran Huang oranhuang at gmail.com -------------- next part -------------- An HTML attachment was scrubbed... URL:

What's happening? > Celpe.Mixed <- lme(Nota~Tarefa + Corretor %in% Tarefa,random=~1|ID,data=Celpe.Dados11) Error in "EMsteps<-"(`*tmp*`, value = controlvals) : error code 6 from Lapack routine dtrtri > I've trying to fit a Mixed model using lme from package lme4 and the error above has occourred. What Should I Do to solve this? Best regards []s Leonard

Dear all, I need to know in which number of iterations the kmeans converge each time I run it. Any idea how to do it? Thank you for your attention, Rui

Hi All, I run function "kmeans" to cluster a matrix. But when the matrix size is big enough, it keeps saying "did not converge in 10 iterations". Could you explain what it means and if the result is wrong? And the interesting thing is sometimes this warning happens when the sample size is around 51200 x 6, sometimes it happens around 30000 x 6. Does the warning related

> I was wondering why survreg (in survival package) can not handle > three-way interactions. I have an AFT ..... You have given us no data to diagnose your problem. What do you mean by "cannot handle" -- does the package print a message "no 3 way interactions", gives wrong answers, your laptop catches on fire when you run it, ....? Also, make sure you read

Akshay, Your question has way too many answers. SQL has a long history and early versions came long before R arrived on the scene. There is a huge embedded base of hardware and software dedicated to managing databases. It has some features that most R programs do not even dream of doing. Besides easily handling massive amounts of data or sometimes tweaking queries to possibly run more

Dear R mailing list, I'm trying to fit a censored regression model to a large (dimension of the design matrix is 2e5 by 7) right truncated data by means of the survreg(Surv()) function, as suggested by Paul Johnson on his "R Tips" web page. Possibly due to the sensitivity to the initial values of the Newton-Raphson routine in use by survreg(), resulting regression outputs turn

Dear R community, I'm fitting a complex mixed-effects model that requires numerous iterations and function evaluations. I note that nlminb accepts a list of control parameters, including eval.max. Is there a way to change the default eval.max value for nlminb when it is being called from lme? Thanks for any thoughts, Andrew -- Andrew Robinson Department of Mathematics and Statistics

My late friend Morven Gentleman, not long after he stepped down from being chair of Computer Science at Waterloo, said that it seemed computer scientists had to create a new computer language for every new problem they encountered. If we could use least squares to measure this approximation, we'd likely be suspicious of a terribly small error measure or overly high R^2. JN On 2024-12-11

Dear list members, In re-running with GLMM() from the lme4 package a generalized-linear mixed model that I had previously fit with glmmPQL() from MASS, I'm getting a warning of a convergence failure, even when I set the method argument of GLMM() to "PQL": > bang.mod.1 <- glmmPQL(contraception ~ as.factor(children) + cage + urban, + random=~as.factor(children) + cage +

Hello All,   I¢m  kinda new to R language and any help that I can get is greatly appreciated.   Basically, I want to find the values of the two parameters that will maximize the function and I¢m currently using the optim function to find these values.  My R code works fine but not all the time.  Sometimes the solution converges, sometimes not.   Since I¢m planning to do this 5000 times, is there a

Help! Being a bit of a novice, please bear with me if this is a stupid question! I am trying to fit a saturated model to some count data that I have: model<-glm(COUNT~SP*LOC*COL*TIME*TREAT,poisson) but R keeps on crashing and coming up with (occasionally before crashing) an error that states: Algorithm did not converge in: (if(is.empty.model(mt)) glm.fit.null else glm.fit)(x = X, y = Y,