similar to: Why are the number of coefficients varying? [mgcv][gam]

Dear List, I'm getting an error in mgcv, and I can't figure out where it comes from. The setup is the following: I've got a fitted GAM object called "MI", and a vector of "prediction data" (with default values for predictors). I feed this into predict.gam(object, newdata = whatever) via the following function: makepred = function(varstochange,val){ for

Hi! The same Inar reported for rawhide (https://stat.ethz.ch/pipermail/r-devel/2023-March/082482.html) is true for SuSE's distros. Right now R does not compile with libcurl8, but SuSE Tumbleweed/Factory switched to 8 a week ago. Would be great, if the patch Inar provided could be applied to main. Detlef -- "Wozu leben wir, wenn nicht dazu, uns gegenseitig das Leben einfacher zu

On 03/04/2023 14:07, Detlef Steuer wrote: > Hi! > > The same Inar reported for rawhide > (https://stat.ethz.ch/pipermail/r-devel/2023-March/082482.html) > is true for SuSE's distros. > > Right now R does not compile with libcurl8, but SuSE Tumbleweed/Factory > switched to 8 a week ago. > > Would be great, if the patch Inar provided could be applied to >

Am Mon, 3 Apr 2023 15:13:58 +0100 schrieb Prof Brian Ripley <ripley at stats.ox.ac.uk>: > On 03/04/2023 14:07, Detlef Steuer wrote: > > Hi! > > > > The same Inar reported for rawhide > > (https://stat.ethz.ch/pipermail/r-devel/2023-March/082482.html) > > is true for SuSE's distros. > > > > Right now R does not compile with libcurl8, but

hello, I try to model traffic accidents with the following model: glm.nb(y~j+w+m+sf+b+ft,data=fr[]). the problem is that there exist autocorrelation in the data. one possibility is to model traffic accidents with inar(1)-models. has anyone an idea how to change this model in order to abtain an integer valued time series model? thanks nazli

#how do I break these up into first two letters (RM), number, and then the last part #is there an easily accessible regex tutorial on the internet? v = (structure(1:122, .Label = c("RM215Temp", "RM215SpCond", "RM215DO.Conc", "RM215Depth", "RM215pH", "RM215ORP", "RM215Turbidity.", "RM215Battery", "RM215DO.",

Hello, in my doctoral thesis i try to model time series crash count data with an inar(1)-process, but i have a few problems in writing the r-code. is there someone, who works with inar-processes. i would be very grateful, if someone gives me some ideas in writing the code. nazli

Hello, is there anyone, who works with modelling of time series of count data. I try to model traffic accidents with inar(1)-models, but I have a lot of problems with the R-Code. I would be very grateful, if someone helped me. Nazli

On 03/04/2023 15:24, Detlef Steuer wrote: > Am Mon, 3 Apr 2023 15:13:58 +0100 > schrieb Prof Brian Ripley <ripley at stats.ox.ac.uk>: > >> On 03/04/2023 14:07, Detlef Steuer wrote: >>> Hi! >>> >>> The same Inar reported for rawhide >>> (https://stat.ethz.ch/pipermail/r-devel/2023-March/082482.html) >>> is true for SuSE's

Hi, I have a template which looks like this <% scope.lookupvar(''openldap::params::ldapservers'').each do |var| -%> olcSyncrepl: {0}rid=001 provider="ldap://<%= var %>:389" type=refreshAndPer sist retry="5 5 300 +" searchbase="<%= scope.lookupvar(''openldap::params::searchbase'') %>" attrs="*,+" bindmeth

In case more of you come across my request from this morning, I've already gotten several great tips, which I summarize here since one or two of these did not come across R-help as well. A team of fellow political scientists is on this problem like "white-on-rice"! Brandt, Patrick, John T. Williams Benjamin O. Fordham, and Brian Pollins. 2000. "Dynamic Modeling for Persistent

Dear all: I'm a newbie and an amateur seeking help with forecasting the next in a non-stationary time series, with constraints of 1 (low) and 27 (high) applicable to all. What I need help with is the solution concept. The series has 439 observations as of last week. I'd like to analyze obs 1 - 30 (which are historical and therefore invariate), to solve for 31. The history: Obs 1

Dear List, I have got error message when I run the R-code. Can anyone has a suggestion? v.code <- df.bm7[,c(10:31)]; v.code[1:3,] names(v.code) CM = v.code # variable binomial code sim.sp <- function(data,CM,n,N) { C <- matrix(rep(NA,N),ncol=1) for(i in 1:N) { j <- n xx <- which(colSums(CM[j,])==1) V <- names(xx) V <- paste(V,

Dear R-ers, I hope there is a really simple solution to my problem. I've written a function that I saved in an .r file. I source this file in my code. For a while it worked fine. But then when I run the line: source("F mylineplot.r") I started getting a warning: In readLines(file) : incomplete final line found on 'F mylineplot.r' I have no idea why - I tried to check and

Thanks, no malloc or free equivalents either (no heap). So, there are no others (to your knowledge) who have built an LLVM backend for a platform with no “normal” stack? I found a presentation about some FPGA work (using LLVM) but it doesn’t seem to apply to my platform. Perhaps someone else on the mailing list will have come across this rarity? Thank you again for your time and

I know this has come up before....but.. I've got a locking issue I can't get over. Situation: --------- Unix writes a file to the /tmp directory MS-DOS (WFW 3.11) copys over the file (copy d:\file.txt ), locking it, and not releasing the lock. If Unix subsequently changes the file a re-issuing of the MS-DOS 'copy' command will appear to work ... but the MS-DOS file is

Thanks for your response. Please see below. From: Bruce Hoult [mailto:brucehoult at sifive.com] Sent: Thursday, December 13, 2018 5:58 PM To: jjones at prc-hsv.com Cc: LLVM Developers Mailing List <llvm-dev at lists.llvm.org> Subject: Re: [llvm-dev] LLVM Backend for a platform with no (normal) stack Do you have a register that you can store a memory address >> yes in and

For a machine like an FPGA with no stack, you have to ensure that you have an optimization that rewrites the alloca into either registers (such as PromoteMem2Reg) or that you rewrite the alloca by declaring a static local, and rewriting the code to use that instead of the alloca result. Mark Mendell From: llvm-dev <llvm-dev-bounces at lists.llvm.org> On Behalf Of Bruce Hoult via llvm-dev

I'm looking for someone to explain the difference between these procedures. The function prcomp() does principal components anaylsis, and the function cmdscale() does classical multi-dimensional scaling (also called principal coordinates analysis). My confusion stems from the fact that they give very similar results: my.d <- matrix(rnorm(50), ncol=5) rownames(my.d) <-

Yes, thank you, specifically and all. On this platform, we call what I will use a "frame stack" (it's actually not a stack, but that's really not relevant). Special thanks to Mr. Mendell--I promise to make good use of the contents of lib/Transforms/Utils/PromoteMemoryToRegister.cpp. To All, I'm sorry I wasn't clear in my original posting. In hindsight, it was clearly