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...new to R. It would be kind if I could get some help on this. I am using R to estimate Fstats but I am getting following error. a3 is annual GDP data from 1951 to 2010. > fs<- Fstats(ecm.model, from=1954, to = 1975,data=a3) Error in Fstats(ecm.model, from = 1954, to = 1975, data = a3) : inadmissable change points: 'from' is larger than 'to' In addition: Warning message: In Fstats(ecm.model, from = 1953, to = 1955, data = a3) : 'to' changed (was too large) Regards Vikram [[alternative HTML version deleted]]

I've been trying to prepare some wrappers for optimization objective functions and gradients that use try() to check for computable functions. I'm also trying to do scaling as per optim() so that a number of methods that are available on CRAN and R-Forge can use parameter and function scaling. This got me into minor trouble when I scaled a gradient or Hessian and the

Dear Researchers, someone know the right syntax to chose a 5% significance level (threshold) for the inclusion of the model variables in a multiple (linear) regression in backward way? I set the formula in this way, but I don't know to choose the 5% significance? lmodelV <- step(lm(formula=MyFormula[[1]],data=LR.train),direction="backward") thanks in advance gianni

> I have a problem. I am using the NLME library to fit a non-linear model. There is a linear component to the model that has a couple parameter values that can only be positive (the coefficients are embedded in a sqrt). When I try and fit the model to data the search algorithm tries to see if a negative value for one of these parameter values will produce an optimal fit. When it does so,

??Hi all! We use Samba 3 server for some video stuff (editing, rendering, and so on) -- that's why performance is critical. We've tried a lot smb.conf options, but Samba can't satisfy our requirements. Our server configuration is as following: * Hard drive: RAID5 (8 x Seagate 7200.10), 3ware 9550SX-8LP controller * NICs (trunked): 2 x Broadcom NetXtreme BCM5704 * Processor: Opteron

Hi, dear R users I am a newbie in R and I wantto use the method of meximum likelihood to fit a Weibull distribution to my survival data. I use "optim" as follows: optim(c(1, 0.25),weibull.like,mydata=mydata,method="L-BFGS-B",hessian = TRUE) My question is: how do I setup the constraints so that the two parametrs of Weibull to be pisotive? Or should I use other function

Good Afternoon, I am relatively new to R and have been trying to figure out how to estimate regression coefficients using the MLE method. Some background: I am trying to examine scenarios in which certain estimators might be preferred to others, starting with MLE. I understand that MLE will (should) produce the same results as Ordinary Least Squares if the assumption of normality holds. That

Greets, I'm trying to use nlminb() to estimate the parameters of a bivariate normal sample and during one of the iterations it passes a parameter vector to the likelihood function resulting in an invalid covariance matrix that causes dmvnorm() to throw an error. Thus, it seems I need to somehow communicate to nlminb() that the final three parameters in my parameter vector are used to

dhabby wrote: Last week I run in to a lot a problems triyng to fit an ARIMA model to a time series. The problem is that the internal process of the arima function call function "optim" to estimate the model parameters, so far so good... but my data presents a problem with the default method "BFGS" of the optim function, the output error looks like this:

Hi All, I've finally found solutions for my previous problems. But since this includes changes in the shared files, I'd like to discuss them here. 1. Driver restart problem. When I start the driver for the first time, everything is ok. But when I want to restart it, problems begin. The driver fails to read Report descriptor for the second time (libusb_open is used to open the device).

The following is a message to be sent to the President of the United States of America. Although we may not be able to do a great deal from where we are, but for the people of America just knowing we care and feel their sadness will help. Please put your name on the following list and send it to all you know and who care. If you are the 100th name and every 100th there on could you please also