similar to: New code in R-devel: Rao score test for glm.

I don't have a copy of Dobson (1990) from which the glm.D93 example is taken in example("glm"), but I'm strongly suspecting that these are made-up data rather than real data; the means of the responses within each treatment are _identical_ (equal to 16 2/3), so two of the parameters are estimated as being zero (within machine tolerance). (At this moment I don't understand

Hello I am testing for the homogeneity of clusters of (yearly) seasonal data using the rao.test from the circular package. I can't find anywhere (including the Cran pages) which specifically mentions the null hypothesis for this test. Playing around with it, for example using say the toy code beneath it would seem that the null is that the data sets tested are not homogenous, which is fine

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Hi Peter and others, If it helps, I wrote a small function glm.scoretest() for the statmod package on CRAN to compute score tests from glm fits. The score test for adding a covariate, or any set of covariates, can be extracted very neatly from the standard glm output, although you probably already know that. Regards Gordon --------------------------------------------- Professor Gordon K

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Hi, I have a nested unbalanced data set of four correlated variables. When I do univariate analyses, my factor of interest is significant or marginally significant with all of the variables. Small effect size but always in the same direction. If I do a MANOVA instead (because the variables are not independent!) then my factor is far from being significant. How does that come about? I have

just for my curiosity, How can we make sure that its not affected? Is there any script to check whether its vulnerable or not (as in bash shell shock vulnerability test)? On Tue, Mar 31, 2015 at 12:25 PM, Eero Volotinen <eero.volotinen at iki.fi> wrote: > Centos 5 is not affected by this bug, so fix is not available. > > Eero > 31.3.2015 9.48 ap. kirjoitti "Venkateswara

>On Aug 16, 2012, at 1:09 PM, "Rao, Prashantha" <Prashantha.Rao at amd.com<mailto:Prashantha.Rao at amd.com>> wrote: >Hi- >I am writing a pass to traverse loops and collect some analysis data and later on come back to transform the IR. In the analysis phase I need to >remember statistics regarding every loop in the program. What is the best way to uniquely

From: Andrew Trick [mailto:atrick at apple.com] Sent: Tuesday, August 21, 2012 9:58 PM To: Rao, Prashantha Cc: llvmdev at cs.uiuc.edu Subject: Re: [LLVMdev] How to uniquely remember a loop? On Aug 21, 2012, at 4:17 AM, "Rao, Prashantha" <Prashantha.Rao at amd.com<mailto:Prashantha.Rao at amd.com>> wrote: More than one loop may share the same header; You have a different

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I am new to R and am interested in using the program to fit quantile regression models to data collected from a multi-stage probability sample of the US population. The quantile regression package, rq, can accommodate person weights. However, it is not clear to me that boot.rq is appropriate for use with multi-stage samples (i.e., is capable of sampling primary sampling units instead of survey

Hello again, I have tons of data files that I have to decide how/which subsets to extract. While researching data mining products I came across R. As a newbie, where do I start to start using this popular tool? Any help is appreciated. Thank you in advance. Regards, Subba Rao ewbie, where do I start to start using this popular tool?<br> <br> Any help is appreciated.<br>

Signed-off-by: Attilio Rao <attilio.rao@citrix.com> Acked-by: Ian Campbell <ian.campbell@citrix.com> --- Differences with previous revision: - Improvements to the manpage: * s/operated/made * s/compatbile/compatible * New paragraph for rombios, provided by Ian * s/force/request * redundant line removal in UEFI explanatory * Wrap of lines at 80 cols diff -r adcd6ab160fa

On Aug 21, 2012, at 4:17 AM, "Rao, Prashantha" <Prashantha.Rao at amd.com> wrote: > More than one loop may share the same header; You have a different definition of loop than the rest of the optimizer. You can identify your loops by the backedge if you prefer. > I can certainly run LoopSimplify as a prepass. But will that ensure unique loop header for each loop. It tries

Thanks for the reply. I did clean installation of the CentOS 7 and wanted to install the list of packages in the above mail, but couldn't get them installed. Can you please help me in installing the above packages? On Tue, Feb 10, 2015 at 11:33 AM, John R Pierce <pierce at hogranch.com> wrote: > On 2/9/2015 9:57 PM, Venkateswara Rao Dokku wrote: > >> I would like to

Thanks for the reply. If we want to have PV kernel for CentOs 7 , are there any guidelines to follow? How we can know before hand itself that this kernel is PV or HVM, without installing kernel? On Wed, Aug 19, 2015 at 11:27 AM, John R Pierce <pierce at hogranch.com> wrote: > On 8/18/2015 10:37 PM, Venkateswara Rao Dokku wrote: > >> Thanks for the reply. >> Sorry for the

On Aug 16, 2012, at 1:09 PM, "Rao, Prashantha" <Prashantha.Rao at amd.com> wrote: > Hi- > > I am writing a pass to traverse loops and collect some analysis data and later on come back to transform the IR. In the analysis phase I need to remember statistics regarding every loop in the program. What is the best way to uniquely remember a loop? Probably too late to help

Thanks for the reply. Where can we get the info regarding whether its fixed in CentOS 5 or not? I did rpm -q --changelog <glibc> | grep <CVE> but I dont find any info on this. This might means 3 things. 1. The version is not affected so no fix 2. The version is affected, still no fix 3. Fix applied, but not shown in o/p Thanks On Fri, Jun 5, 2015 at 2:06 PM, John Tall <mjtallx

On 4/27/12 2:05 PM, shanmuk rao wrote: > Hi, > I am using Loop pass ( runOnLoop() function ) > In this function I want to access all the Loops in all the functions > in the current Module > > the LoopInfo Pass only gives the Loops in the function where the > current Loop resides :-( > > Is there any other Pass by which I can access the Loops in others > functions

Thanks for the replies. The tool that we used for testing the security vulnerability is "Nessus". I have glibc version 2.17-78.el7, I saw that CVE-2015-0235 (Ghost) is fixed in this version and I want to apply patch for the vulnerbailities CVE-2015-1472 & CVE-2015-1473. Can you please help me in finding the right version that has fixes for these? Thanks On Sat, Apr 25, 2015 at