similar to: Codes to conduct network meta-analysis, gemtc package

This is not a free consulting service. You are expected to put in the work yourself and **may** receive help here if you have specific questions that you need help with when you do so. See the posting guide linked below for details. Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley

This aside, there is the R-sig-meta-analysis mailing list where this probably belongs: https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis Best, Wolfgang >-----Original Message----- >From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Bert >Gunter >Sent: Thursday, 15 February, 2018 16:49 >To: shaju jacob >Cc: R-help >Subject: Re: [R] Codes to conduct

Dear R developers, (Apologies about previous incomplete e-mail, I fat-fingered a keyboard shortcut)?? I recently upgraded to 3.2.3 and am getting mystifying errors with my in-development code (available at https://github.com/gertvv/gemtc/tree/feature/regression). Every few hundred LPs that I solve using the rcdd package will result in a SEGFAULT in the garbage collector (address 0x10, cause

Gert, On 16 December 2015 at 12:06, Gert van Valkenhoef wrote: | I recently upgraded to 3.2.3 and am getting mystifying errors with my | in-development code (available at | https://github.com/gertvv/gemtc/tree/feature/regression). Every few hundred | LPs that I solve using the rcdd package will result in a SEGFAULT in the | garbage collector (address 0x10, cause 'memory not mapped') or an

>>>>> akshay kulkarni >>>>> on Wed, 31 May 2023 20:55:33 +0000 writes: > dear members, > I am using arfima() from forecast package to model a time > series. The following is the code: >> LYGH[[202]] > [1] 45.40 3.25 6.50 2.15 >> arfima(LYGH[[202]]) > Error in .fdcov(x, fdf$d, h, nar = nar, nma = nma,

dear members, I am using arfima() from forecast package to model a time series. The following is the code: > LYGH[[202]] [1] 45.40 3.25 6.50 2.15 > arfima(LYGH[[202]]) Error in .fdcov(x, fdf$d, h, nar = nar, nma = nma, hess = hess, fdf.work = fdf$w) : NA/NaN/Inf in foreign function call (arg 5) I tried viewing .fdcov() with the following code:

Dear Martin, Sad that the bug is beyond your ken... Fortunately, the error happens only rarely...The length of LYGH was 719 and there were only two such errors..I will just replace them with NA and make do. By the by, what if I send LYGH as an attachment to your actual mail ( not the r-help mail)? Will it help? Can you then pinpoint the cause? Or should I raise a bug

hi; When I first started looking at R code, I thought that the <- notation for assignment made the code less readable (and I still do). Then I found that now one can use "=" in place of "<-" for assignment (I understand this started since version 1.4). Anyway, I think using "=" makes the code much more readable. I was wondering, would it be safe if I

Recently we switched from the proprietary version of ssh to the latest versions OpenSSH on RH7, 9 and CentOS4.2 When I run rsync over ssh, even sudo, I get permissions errors: sudo rsync -av --rsh=/usr/bin/ssh --delete <source dir> <user>@<server>:<dest dir> readlink groups/amatogroup/intranet/FoldingServerOO-dev/trash/foldingServer/Folding.NMA/CVS: Permission denied

I was sniffing in the fracdiff library (this is for fractionally integrated ARMA processes; Haslett and Raftery 1989). The documentation suggests that one tries the following simple example: library(fracdiff) ts.test <- fracdiff.sim( 5000, ar = .2, ma = -.4, d = .3) fracdiff( ts.test$series, nar = length(ts.test$ar), nma = length(ts.test$ma)) When I run this, I get the following error: R

2006/1/20, Salvatore Enrico Indiogine <hindiogine at gmail.com>: > 2006/1/20, Jim Perrin <jperrin at gmail.com>: > > > When I run rsync over ssh, even sudo, I get permissions errors: > > > > > > sudo rsync -av --rsh=/usr/bin/ssh --delete <source dir> > > > <user>@<server>:<dest dir> > > > > > > >

I think I should have posted this question here as well. I am posting my question here since it is R related. Please see below. I originally posted this to sci.stat.math "Nasser Abbasi" <nma at 12000.org> wrote in message news:Mm4gj.28843$R92.4987 at newsfe16.phx... > > I think R documentation is a bit hard for me to sort out at this time. > > I was wondering if

On Sat, Aug 18, 2018 at 10:17:51AM +1000, William Brown wrote: > On Fri, 2018-08-17 at 16:53 -0700, Jeremy Allison wrote: > > On Sat, Aug 18, 2018 at 09:29:12AM +1000, William Brown via samba- > > technical wrote: > > > Hi there, > > > > > > I've been thinking about this, and I can't seem to find a code of > > > conduct for the samba

Dear Colleagues/Developers/R enthusiasts, Would it be possible to develop a code of conduct (CoC) document for R lists, CRAN submissions that all developers/maintainers to follow? This may help all of us to better communicate and move forward together. There is a similar effort from Python community, here are the links: * https://mail.python.org/pipermail/scipy-dev/2017-August/022044.html *

On Wed, 2017-09-13 at 12:54 +0200, Suzen, Mehmet wrote: > Dear Colleagues/Developers/R enthusiasts, > > Would it be possible to develop a code of conduct (CoC) document for > R lists, CRAN submissions that all developers/maintainers to follow? > This may help all of us to better communicate and move forward > together. > There is a similar effort from Python community, here

Dear R-list, I am sorry for my shortage of stat knowlege. I want know how to conduct a hypothesis test : Ho:|E(X)|=|E(Y)|<->H1:otherwise. Actually, in my study, X and Y is two observations of bias, where bias=u^hat-u, u is a parameter I concerned. Given X=(u^hat_xi - u) and Y=(u^hat_yi - u), I want to know which bias is smaller, or the absolute expection of which is smaller. Due to limit

#Hello, # Sorry, my last letter contained an error this code should work #I have three data frames, X,Y and Z with two columns each and different numbers of rows. # creation of data frame X X.alleles <- c(1,5,6,7,8) X.Freq <- c(0.35, 0.15, 0.05 , 0.10, 0.35) Loc1 <- cbind( X.alleles,X.Freq) X <- data.frame(Loc1) #creation of data frame Y Y.alleles

> > As long as the committee remains unimportant, things will be fine. > > As soon as the committee becomes important, the LLVM project has already > > degenerated into a snake pit, and is likely to fork anyway. > > This sounds like an oxymoron, as if this policy only makes sense if > the non-representative foundation never tries to enforce it in a way > that the

This actually was discussed at EuroLLVM. Several other things were occupying my time that have in the last month cleared out, and I'm expecting to have an update to the CoC stuff in the next few weeks. It hasn't been forgotten though. =] On Tue, Mar 22, 2016 at 5:20 PM Philip Reames via llvm-dev < llvm-dev at lists.llvm.org> wrote: > Chandler, > > It's been 5 months

Dear list and Martin, I'm testing different approaches to fit an electricity demand time series and come upon the fracdiff package (v 1.3-1) for fitting fractional ARIMA models. The following questions are motivated by this package. 1. Despite having a help page, the residuals and fitted functions don't seem to have implementation, or did i miss something obvious? Alternatively, having a