search for: boostrapping

Dear R-Users, we are using a linux-cluster with RMPI and the snow package. We would like to do a double boostrap. We have a general function that implements the first boostrap (the outer) and we are wondering if we can include another bootstrap (the inner) in the same general function including another clusterApplyLB. For example: general function = function(...) { clusterApplyLB(cl,

Hi Does anyone know whether the rms package provides a confidence interval for the bootstrap-corrected Dxy or c-index? I have fitted a logistic model, and would like to obtain the 95% confidence interval of the bootstrap-corrected area under the ROC curve estimate. Thanks. [[alternative HTML version deleted]]

Hi, I am an astronomer and somewhat new to boostrap statistics. I understand the basic idea of bootstrap resampling, but am uncertain if it would be useful in my case or not. My problem consists of maximizing a likelihood function based on the velocities of a number of stars. My assumed distribution of velocities of these stars is:

Hi, I was wondering whether this query was addressed on how to perform validation through boostrapping. I am currently trying to implement a boostrapping approach to validation but don't know where to start. Help please. Thank you and Regards, Vivienne Ozohili Risk Model Validation Manager Group Risk Independent Control Unit A5, Bank of Ireland Head Office Lower Baggot Street Dublin 2 Tel: +...

Hi Renato, On Tue, Oct 8, 2013 at 3:57 PM, Renato Golin <renato.golin at linaro.org>wrote: > On 7 October 2013 18:33, İsmail Dönmez <ismail at donmez.ws> wrote: > >> This is with Linux on BeagleBone Black (Cortex-A8), regressed recently: >> > > Hi Ismail, > > Are you running this regularly? Do you know which commit regressed? Or at > least a window?

Hello there I have the following model based on the hollings disc equation for the type II functional response for 2 data sets: nls(eaten~(a*suppl)/(1+a*h*suppl) where eaten is the number of prey eaten by a predator and suppl is the number of prey initially supplied to the same predator. I have parameter estimates of 'a' and 'h' for the two populations studied and would like

Hi, I want to permutate the following matrix and replace permutated columns. Is it possible to control the number of columns permutated. Let's say I only want to permute two columns. Can i do that with the sample method or should i any bootstrapping method ?? I'm not sure this is the best statisticaly way of doing it...?? So the idea behind is to ramdonly generate 1000 permutated

Hi, Is there any working script, similar to deboostrap, for CentOS 5? I have found rpmstrap [1] at RPMforge.. but only works for CentOS-4, and appears that's out of date. thanks! [1] http://dag.wieers.com/rpm/packages/rpmstrap/ -- Santi Saez http://woop.es

Hello All, Despite my preference for reporting confidence intervals, I need to obtain a p-value for a hypothesis test in the context of regression using bootstrapping. I have read John Fox's chapter on bootstrapping regression models and have consulted Efron & Tibshirani's "An Introduction to the Bootstrap" but I just wanted to ask the experts here for some feedback to make

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

On 8 October 2013 14:01, İsmail Dönmez <ismail at donmez.ws> wrote: > I was using a 1 week old clang to boostrap, switched to gcc and the bug > gone away. Now I'll boostrap again with the new clang to see if the > regression is there or not. > Are you using LLVM's own release scripts to bootstrap (utils/release/test-release.sh)? You can also try the ones I wrote in the

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.

Dear all, Does someone know an R function implementing the method of Sison and Glaz (1995) (see full ref below) for computing Simultaneous confidence intervals for multinomial proportions? As alternative method, I think to boostrap the mean of each proportion and get in that way confidence interval of the mean. I observed 21 times a response that could be one out of 8 categories

This might be easy but I'm very new to R and this question doesn't seem to have any nice keywords that bring up relevant search results when I search the CRAN search engine. Therefore, I'll plead (as I have in the recent past) Newbie status. I have a data frame with two factors (Factor 1 and 2) which together specify another unique level. I want to create a third factor in the

On Wed, Oct 12, 2016 at 04:15:44PM +0100, Renato Golin wrote: > On 12 October 2016 at 14:34, Teresa Johnson via llvm-dev < > llvm-dev at lists.llvm.org> wrote: > > > So I'd first like to understand whether we still want to keep gcc 4.7 as a > > supported version, or move to 4.8 as was suggested. What is the process for > > making that change? > > >

Hello alls, I found in the literature a technique that has been evaluated as one of the more robust to assess statistically the significance of the loadings in a PCA: bootstrapping the eigenvector (Jackson, Ecology 1993, 74: 2204-2214; Peres-Neto and al. 2003. Ecology 84:2347-2363). However, I'm not able to transform by myself the following steps into a R program, yet? Can someone could help

Hi Gene, (some text snipped throughout) > > issue #1: > > I can only get this working on 6.02-pre16 and before back to 6.01-pre2, > > but definitely not working for me on the latest precompiled 6.02 zip & tar.gz. > http://bugzilla.syslinux.org/show_bug.cgi?id=35 although my current > branch needs just a little more work for the cross-subnet case. Thanks for that,

G'Day R users! Following an ordination using prcomp, I'd like to test which variables singnificantly contribute to a principal component. There is a method suggested by Peres-Neto and al. 2003. Ecology 84:2347-2363 called "bootstrapped eigenvector". It was asked for that in this forum in January 2005 by J?r?me Lema?tre: "1) Resample 1000 times with replacement entire

Buenas, He estado leyendo publicaciones sobre las redes neuronales ( y el deep learning) pero no consigo entender el tipo de operaciones que se hacen en cada una de las capas de las redes neuronales. Necesito alguna explicacion más para tontos. ¿Alguien entiende bien lo que hace una red neuronal? Por ejemplo, un randomForest hace el ensamble por boostrap de árbole sde clasificación. Un SVM crea

Hi, I wonder if anyone has been able to successfully build llvm-gcc as an Alpha cross compiler? I have tried many different combinations of flags and gcc compiler, but have not been able to build successfully. Currently, this is the command that I used to build on Ubuntu 10.10: ../llvm-gcc-4.2-2.8.source/configure --enable-llvm=/home/ghoang/research/llvm/llvm-objects --enable-languages=c,c++