similar to: error with polr()

In polr.R the (several) functions gmin and fmin contain the code > theta <- beta[pc + 1L:q] > gamm <- c(-100, cumsum(c(theta[1L], exp(theta[-1L]))), 100) That's bad. There's no reason to suppose beta[pc+1L] is larger than -100 or that the cumulative sum is smaller than 100. For practical datasets those assumptions are frequently violated, causing the

Hi everybody, I'm trying to fit a Garch(1,1) process to the DAX returns. My data consists of about 2300 10day-logreturns in chronologically descending order (see attachment). But if I use the garch function I get a very high alpha_1 and a quite low beta, which doesn't make that much sense. I think I am missing something, but have no idea what it might be. I'd appreciate it a lot

Has anyone come across the right combinations to print a limited number of digits? My trial and error approach is taking too much time. Here is what I have tried: > op <- options() > a <- c(1e-10,1,2,3,.5,.25) > names(a) <- c("A", "B", "C", "D", "E", "F") > # default > a A B C D

Dear R users, i try to integrate lgamma from 0 to Inf. But here i get the message "roundoff error is detected in the extrapolation table", if i use 1.0e120 instead of Inf the computation works, but this is against the suggestion of integrates help information to use Inf explicitly. Using stirlings approximation doesnt bring the solution too. ## Stirlings approximation lgammaApprox

I stumbled across this and I am wondering if this is unexpected behavior or if I am missing something. > pnorm(-1.0e+307, log.p=TRUE) [1] -Inf > pnorm(-1.0e+308, log.p=TRUE) [1] NaN Warning message: In pnorm(q, mean, sd, lower.tail, log.p) : NaNs produced > pnorm(-1.0e+309, log.p=TRUE) [1] -Inf I don't know C and am not that skilled with R, so it would be hard for me to look into

Dear R users, I have a SAS codes with several loops in it, and i hope to use R to do the same task. The SAS codes are as follows, /*to generate the dataset*/ DATA Single_Simulation; DO se=0 to 1 by 0.01; DO sp=0 to 1 by 0.01; DO DR=0 to 1 by 0.01; TR=(DR+sp-1)/(se+sp-1+1.0e-12); Adjust_Factor=TR/(DR+1.0e-12); OUTPUT; END; END; END; RUN; /*to select some data*/ DATA

Hi all, I have some graphs where the values on the X and Y axes are by default in exponent form like 2e+05 or 1.0e+07. Is it possible to make them in a more readable form like 10M for 1.0e+07 or 200K for 2e+05? Thanks and Regards, - vihan

Dear all,I am a new user of WinBUGS and need your help. After running the following code, I got parameters of beta0 through beta4 (stats, density), but I don't know how to get the prediction of the last value of h, the variable I set to NA and want to model it using the following code.Does anyone can given me a hint? Any advice would be greatly appreciated.Best

Dear all, I have found some difference of the results between multinom() function in R and multinomial logistic regression in SPSS software. The input data, model and parameters are below: choles <- c(94, 158, 133, 164, 162, 182, 140, 157, 146, 182); sbp <- c(105, 121, 128, 149, 132, 103, 97, 128, 114, 129); case <- c(1, 3, 3, 2, 1, 2, 3, 1, 2, 2); result <- multinom(case ~ choles

I am a little confused by the results of the result of fptoui ... seems to conflict with the instructions semantics as defined in the language reference (http://llvm.org/docs/LangRef.html#i_fptoui): %tmp1001 = fptoui float 1.0E+300 to i1 ; % yields tmp1001 = 0 on my machine! but the ref says: %Y = fptoui float 1.0E+300 to i1 ; yields i1:true (checked the return value with ... icmp

In building a function for a package, I'd like to set the defaults in a control list, e.g., makeg<-function(parameters, eps = 1.0e-7, control=list(showwork=TRUE, rubbish=1.0e+101)){ etc. } This does not provide showwork or rubbish within the function if control() is not fully specified. Copying others, I've previously set the control defaults within the function then matched

I've run into persistent problems with OpenBUGS crashing when using BRugs .53 and .71, and am hoping someone has suggestions. There is obviously something unusual going on in my environment, but I'm at a loss as to where to begin to try to solve it. In a nutshell, what happens is that, as soon as I call "modelCheck()" in BRugs, it gets an error or crashes ... but only some of

Hi, I am trying to covert a Winbugs code into R code. Here is the winbugs code model{# model’s likelihoodfor (i in 1:n){time[i] ~ dnorm( mu[i], tau ) # stochastic componenent# link and linear predictormu[i] <- beta0 + beta1 * cases[i] + beta2 * distance[i]}# prior distributionstau ~ dgamma( 0.01, 0.01 )beta0 ~ dnorm( 0.0, 1.0E-4)beta1 ~ dnorm( 0.0, 1.0E-4)beta2 ~ dnorm( 0.0, 1.0E-4)#

I am using 'igraph' package to make some graphs of 'gene-gene interaction'. I can get a data.frame which has three columns. gene1 gene2 pvalue AGT MLR 1.2e-04 MLR 11BHSD1 1.71e-05 IFG2 11BHSD2 2.2e-07 . . . . . . . . . AGTR1 NPPA

Hello R and BUGS users, I am writing a heirarchical model in R to send to BUGS via R2WinBUGS and I am finding it difficult to get the model to run. I seem to be having two problems. 1) I can't seem to send variables classed as factors (Month), is there a way do this? 2) Checking the Log in WinBUGS I can see that the model is Syntactically correct, but Bugs is not able to recognise the the

I need to calcuate the cumulative probability for the Natural Exponential Family - Hyperbolic secant distribution with a parameter theta between -pi/2 and pi/2. The integration should be between 0 and 1 as it is a probability. The function "integrate" works fine when the absolute value of theta is not too large. That is, the NEF-HS distribution is not too skewed. However, once the

enclosed a simple R script (and a data file, and the output) , with calls lda similar to the example with the iris data in the documentation. it is not working and i dont understand the error message. can anybody help me? i am using R 1.5.1 (2002.06.17) on debian woody stable. I would like to avoid updating now, because i want to keep the system in "stable". can somebody test, if the

I saw an email about 8.0.1 being not quite out, and planning for 9.0.0. When is 8.0.1 supposed to come out? I installed llvm at develop on x86 on March 30, and its clang says it is version 9.0.0 (trunk 357348). I tried to do another spack install llvm at develop, but it said that I already had it installed. Does that mean there were no changes since March 30, or does spack not look for any

Thank you. > On Jul 3, 2019, at 4:04 AM, Justin Clift <justin at postgresql.org> wrote: > > On 2019-07-01 00:22, Marty Itzkowitz via llvm-dev wrote: >> I also tried spack install llvm at develop on a POWER9 (ppc641e) >> machine, but I can not find a compiler that >> will compile it. gcc 4.8.5 is reported as too old, and gcc 7.3.0 and >> 8.1.0 both fail in

On my CentOS 5 box, in a C++ program that does much arithmetic, including numerous matrix multiplications, I have a situation in in which the result depends on the nature of nearby I/O. Thus, with all arithmetic done with type double, and where values are mostly in the range [-1.0e0,+1.0e0] or nearby, I do: cerr << "some stuff" << endl; mat3 = matmult(mat1,mat2); I