search for: stimates

Hi I have a simple question. I want to run a "n times" a simple linear regession and save beta in a matrix but I´m not able. Imagine: Data.txt is a 10*5 file and want to run 4 different stimations always regressing first column on the rest. So I try this: First I run Data on memory This is my function mrp <- function(){ mr<-matrix(0,4,1) for(i in 1:4)

Hi, We're evaluating asterisk, somebody has measured maximum asterisk load (simultaneus calls, calls per seconds...)? Are there any stimation? Thx. Best regards. .G

Hi All I have to run multiple stimations and to compute Likelihhod ratio. If I compute ls function with coef and summary I can extract "outputs" that I need. I am not able to find something similar to log liklihood.... Can you pease tell me running a ls function x on y how to extract if posible LR statitic or Likelihood or Log likelihood. Many thanks in advance. If you send me

Hi all, I want to make the following: I want to run a linear regression on each column of a matrix "estima" on the correspondent column on the matrix "estima2". You see I want to regress estima[,1] on estima2[,1] this way to all columns.... At the same time I want to make a regression adding each time a new observation. You see, the first regression will regress only one

Full_Name: Bonnie Version: 1.6.1 OS: Windows Submission from: (NULL) (160.129.25.106) glm() seems to converge, even when it shouldn't. I am trying to fit a model where $converge=FALSE and I am fitting models that do not converge in SAS, but they seem to converge in R ... Thank you.

I'm evaluating CMake (1) primarily as an alternative build system for Visual Studio users, although it can easily be a replacement for `configure' and hand-made makefiles too, providing a single build system for all platforms. CMake is a tool that takes a project description and configures, generates makefiles, project files for IDEs, etc as requested. There are three MS C++ compilers

I am seeking for a method to calculate, given a fitted lme model and some data for a subject, the random effects predictors for this subject. I can only find predictors for the subjects used in creating the fit. Of course I could just add the subject and redo the fit. But I want to avoid just this refitting. Thanks for help wbk

...because support for new compilers/tools comes with new releases of boost.build and need not be added manually by llvm developers/users. Since you're working on a competing build system, I'm no longer sure I want to spend time developing my build system. It would help to know what are your estimates for the availability timeframe of your build system. Thanks, Dmitri -----Original Message----- From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu] On Behalf Of Óscar Fuentes Sent: Wednesday, July 30, 2008 11:18 AM To: llvmdev at cs.uiuc.edu Subject: Re: [LLVMdev] Is there...

Dear R-community, maybe someone can help me with this: I've been using the loess() smoother for quite a while now, and for the matter of documentation I'd like to resolve the acronym LOESS. Unfortunately there's no explanation in the help file, and I didn't get anything convincing from google either. I know that the predecessor LOWESS stands for "Locally Weighted

Stefanus Du Toit <sdt at rapidmind.com> writes: [snip] > We have considered contributing such a build system, and if we were to > do so would probably base it on SCons (http://www.scons.org/) because > we already use SCons extensively. At first, SCons is what I intended too. But then I read about the KDE experience and took the safe route :-) [snip] > Are you intending

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[Repost: The mailing list was down yesterday. Sorry if this is a duplicate] I'm evaluating CMake (1) primarily as an alternative build system for Visual Studio users, although it can easily be a replacement for `configure' and hand-made makefiles too, providing a single build system for all platforms. CMake is a tool that takes a project description and configures, generates makefiles,