search for: bootsrapping

Displaying 14 results from an estimated 14 matches for "bootsrapping".

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2006 May 10
0
[LLVMdev] Successfulyl bootsrapped llvm-gcc4 on mingw32
I'm looking forward to your patches and bug reports. I really want to get this going myself. -----Original Message----- From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu] On Behalf Of Anton Korobeynikov Sent: Wednesday, May 10, 2006 1:22 PM To: LLVM Developers Mailing List Subject: [LLVMdev] Successfulyl bootsrapped llvm-gcc4 on mingw32 Hello, Everyone. Today
2006 May 10
0
[LLVMdev] Successfulyl bootsrapped llvm-gcc4 on mingw32
Hello, Everyone. Today I've finished digging into llvm-gcc4 in order to build in under mingw32. The most trickiest was to make libstdc++ build, since its configure & makefiles are not so perfect as main gcc ones. There are several problems with inline assemler (in two places at least), but both of them are easily seen. Also, there are some compiler crashes while compiling libiberty (with
2016 Oct 17
4
unable to compile llvm with gcc 4.7.4
Hi, The problem is modern c++. I can have a reasonable system boostrape-ed with (tinycc/alternative C compiler), but only in the gcc world since a modern c++ compiler is only bootsrape-able from near any C compiler there. clang and llvm are unable to do it. That why I would need to get 2 gccs: "any C compiler" -> gcc 4.7.4 -> gcc recent_version -> llvm. On Fri, Oct 14, 2016 at
2001 Mar 21
1
Is there any help for "Cannot allocate vector size of xxx KB"
Forgive me if this isn't relevant, but: are you stripping off the output you need (e.g., parameter estimates) and throwing away what you don't (e.g., residuals)? Reid Huntsinger -----Original Message----- From: Saikat DebRoy [mailto:saikat at stat.wisc.edu] Sent: Wednesday, March 21, 2001 12:15 PM To: Han Lai Cc: R-help Subject: Re: [R] Is there any help for "Cannot allocate vector
2006 Apr 11
4
Bootstrap and Jackknife Bias using Survey Package
Dear R users, I?m student of Master in Statistic and Data analysis, in New University of Lisbon. And now i?m writting my dissertation in variance estimation.So i?m using Survey Package to compute the principal estimators and theirs variances. My data is from Incoming and Expendire Survey. This is stratified Multi-stage Survey care out by National Statistic Institute of Mozambique. My domain of
2001 Jun 04
0
question on bootstrapping mean and sd
Not so much an R question, as a methodology one... Dealing with some reviewers comments, one of the reviewers suggests bootstrapping my group means and standard deviations since 2 of my 3 groups have a small sample size. My data is geochemical data, and a variety of clustering methods finds 3 groups in the data. One group has 50 members, another group has 10 members and another group 12
2010 Apr 09
0
Bootcov for two stage bootstrap
Dear users, I'm trying to implement the nonparametric "two-stage" bootstrap (Davison and Hinkley 1997, pag 100-102) in R. As far as I understood, 'bootcov' is the most appropriate method to implement NONPARAMETRIC bootstrap in R when you have clustered data (?). I read the 'bootcov' manual but I still have a few questions: 1 - When the variable 'cluster' is
2006 Mar 29
0
ANOVA & BOOTSTRAP
Hello, I'm working on 30 natural populations of Aster amellus L. a threatened plant species. My aim is to see if the population size influence on several fitness trait. I build a multi-factorial ANOVA. The independents variables are altitude, humidity, soil component, maintenance .... and population density. Unfortunately my data have some heteroscedasticity even after classical
2016 Oct 17
4
unable to compile llvm with gcc 4.7.4
Just for the interest of discussion, I find it completely weird and interesting that GCC needs to build itself 3 times to fully bootstrap. Has there been any interest in looking at a single compile build? I don't exactly know the limitations, but my naive thinking is that C++14 compiler source parsed by C++14 capable compiler and codegen'd to C99 (or older) source should make it compilable
2004 Apr 27
4
Problems raised to 1/3 power and NaN
I am debugging some code and found a function that returns and error most of the time. I have issolated the problem to when it raises an argument to the 1/3 power but for the life of me I can not figure out why it is not working. i have gone through the FAQs and have found nothing (not to say I might have missed something). I am highly embarrased with my inability find the problem (my face is
2016 Oct 13
2
unable to compile llvm with gcc 4.7.4
On Wed, Oct 12, 2016 at 07:15:39PM +0100, Renato Golin wrote: > On 12 October 2016 at 18:37, <sylvain.bertrand at gmail.com> wrote: > > Suggestion is not clear answer. How such a decision taken? Is there a board of > > people which have to vote to valid the choice of minimal gcc (and clang) version > > effective? > > We don't have such process, unfortunately.
2006 Jul 11
2
non positive-definite G matrix in mixed models: bootstrap?
Dear list, In a mixed model I selected I find a non positive definite random effects variance-covariance matrix G, where some parameters are estimated close to zero, and related confidence intervals are incredibly large. Since simplification of the random portion is not an option, for both interest in the parameters and significant increase in the model fit, I would like to collect
2006 Mar 15
10
domU with redhat over a debian based dom0
Hello, I have running xen over a debian server (debian sarge). Now I would like to configure a domU with redhat (AS 4), do you now any way to install it? -- Angel L. Mateo Martínez Sección de Telemática Área de Tecnologías de la Información _o) y las Comunicaciones Aplicadas (ATICA) / \\ http://www.um.es/atica _(___V Tfo: 968367590 Fax: 968398337
2008 Jul 21
5
Coefficients of Logistic Regression from bootstrap - how to get them?
Hello all, I am trying to optimize my logistic regression model by using bootstrap. I was previously using SAS for this kind of tasks, but I am now switching to R. My data frame consists of 5 columns and has 109 rows. Each row is a single record composed of the following values: Subject_name, numeric1, numeric2, numeric3 and outcome (yes or no). All three numerics are used to predict