search for: mdel

Hi, i am learning R recently and find it very helpful in time series model. In ARMA model, given (p,q) it can get the estimation of a[i] and b[j] easily with arima() function. X[t] = a[1]X[t-1] + ... + a[p]X[t-p] + e[t] + b[1]e[t-1] + ... + b[q]e[t-q] but in my recent data model, i met a problem. In the ARMA model, p and q are fixed, but there are some constraints in the parameters

Hi! I am looking for some insight with this situation: what to do or how to analyze when our models fitted with pgmm never pass Sargant test? With my current dataset, I've been fitting different models and with all possible combinations of lagged instruments, with all possible lag order combinations, but no model passes Sargan test. I can not give up gmm here as I have autocorrelation and

Dear all, I generate data under IRT mdel. I conducted 1000 replications. When I run, some replication was not fit with my model. So, replications were fit model were less than 1000 replication. If I want its run until 1000 replicaions. How shouldI write functin. Thank you, Kamontip [[alternative HTML version deleted]]

i have this in my mdel infomailer.rb class Infomailer < ActionMailer::Base helper :application end but i can''t understand why i can''t use method defined i application_helper.rb in template app/views/infomailer/send_order.html.erb please help -- Posted via http://www.ruby-forum.com/. --~--~---...

...cept] is being developed in the D53157 patch, and there is current llvm support for the fast settings by using the fast math flags llvm::FastMathFlags. Note: the clang-cl wrapper to support Microsoft options has simplified support for these options by mapping /fp-model=except to ftrapping-math, fp-mdel=fast to ffast-math, fp-model=precise and fp-model=strict to fno-fast-math (see clang/Driver/CLCompatOptions.td). According to the online options documentation, you can combine except[-] with [precise|strict|fast], but combining both fast and except is not a valid setting (the Driver will emit an e...

...opment for such models. Around 10 years ago John Schnute, Laura Richards, and Norm Olsen with Canadian federal fisheries undertook an investigation comparing various statistical modeling packages for a simple age-structured statistical model of the type commonly used in fisheries. They compared AD Mdel Builder, Gauss, Matlab, and Splus. Unfortunately a working model could not be produced with Splus so its times could not be included in the comparison. It is possible to produce a working model with the present day version of R so that R can now be directly compared with AD Model Builder for this t...

...1] [,2] [1,] -0.3424971 1.492037 [2,] -Inf 1.755388 log(chol(((summary(fm2)$sigma)^2)*solve( matrix(getVarCov(fm2), nrow=2)))) [,1] [,2] [1,] -0.3424971 1.492037 [2,] -Inf 1.755388 In the two mdels, this terms are equals to the optimized parameters in fm2 not in fm1. I am missing something I suppose. Bests, Bernard --------------------------------- [[alternative HTML version deleted]]

Dear Lister, I am facing a strange problem fitting a GLM of the negative binomial family. Actually, I tried to estimate theta (the scale parameter) through glm.nb from MASS and could get convergence only relaxing the convergence tolerance to 1e-3. With warning messages: glm1<-glm.nb(nbcas~.,data=zonesdb4,control=glm.control(epsilon = 1e-3)) There were 25 warnings (use warnings() to see