Displaying 15 results from an estimated 15 matches for "krstajic".

2017 Dec 12

1

Gaussian Process Classification R packages

...r binary classification which produces prediction intervals.
It seems that r-help is not as it was before. Wish you all the best. Roger and out.
________________________________
From: Bert Gunter <bgunter.4567 at gmail.com>
Sent: 12 December 2017 00:01
To: Jeff Newmiller
Cc: R-help; Damjan Krstajic; Berry, Charles
Subject: Re: [R] Gaussian Process Classification R packages
For the record:
I **was** trying to be helpful. I simply didn't know whether "I struggled" meant that the OP had done a web search; as Chuck mentioned, when I did one, I found what looked like possibly helpf...

2017 Dec 11

1

Gaussian Process Classification R packages

...ything wrong with this word) to find a solution in R. Replies like "Google it!" are below my level of my communication and understanding of others.
Best wishes
DK
________________________________
From: Berry, Charles <ccberry at ucsd.edu>
Sent: 11 December 2017 17:04
To: Damjan Krstajic
Cc: Bert Gunter; r-help at r-project.org
Subject: Re: Gaussian Process Classification R packages
> On Dec 11, 2017, at 8:06 AM, Damjan Krstajic <dkrstajic at hotmail.com> wrote:
>
> I have kindly asked for help and I am sad to receive such a reply from some on the r-help list.
>...

2017 Dec 11

1

Gaussian Process Classification R packages

...stions/177677/gaussian-process-prediction-interval
[2] https://stats.stackexchange.com/questions/9131/obtaining-a-formula-for-prediction-limits-in-a-linear-model/9144#9144
--
Sent from my phone. Please excuse my brevity.
On December 11, 2017 9:53:01 AM PST, Damjan Krstajic <dkrstajic at hotmail.com> wrote:
>Thank you Charles Berry for your kind reply. I don't see anything wrong
>with the word "struggling". I have spent several hours trying various R
>packages like kernlab and GPfit to use GP to create a binary
>classification model whi...

2017 Dec 12

1

Gaussian Process Classification R packages

...ocess-prediction-interval
>
> [2] https://stats.stackexchange.com/questions/9131/obtaining-
> a-formula-for-prediction-limits-in-a-linear-model/9144#9144
> --
> Sent from my phone. Please excuse my brevity.
>
> On December 11, 2017 9:53:01 AM PST, Damjan Krstajic <
> dkrstajic at hotmail.com> wrote:
> >Thank you Charles Berry for your kind reply. I don't see anything wrong
> >with the word "struggling". I have spent several hours trying various R
> >packages like kernlab and GPfit to use GP to create a binary
> &g...

2017 Dec 11

1

Gaussian Process Classification R packages

> On Dec 11, 2017, at 8:06 AM, Damjan Krstajic <dkrstajic at hotmail.com> wrote:
>
> I have kindly asked for help and I am sad to receive such a reply from some on the r-help list.
>
>
Well, you only said you were `struggling' to find a package.
Bert may well have done the Google search himself and found numerous reso...

2017 Dec 11

1

Gaussian Process Classification R packages

...ny R package which provides GP classification model which produces prediction intervals for each sample. I would be grateful if anybody could inform me about it. Thank you.
________________________________
From: Bert Gunter <bgunter.4567 at gmail.com>
Sent: 11 December 2017 15:50
To: Damjan Krstajic
Cc: r-help at r-project.org
Subject: Re: [R] Gaussian Process Classification R packages
Google it!
"R Gaussian process model binary classification."
Cheers,
Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along and sticking things into it.&quo...

2010 Mar 06

4

scientific (statistical) foundation for Y-RANDOMIZATION in regression analysis

...given data set by the current modelling method.
I cannot find any references to Y-randomization or Y-scrambling anywhere in the literature outside chemometrics/QSAR. Any links or references would be much appreciated.
Thanks in advance.
DK
----------------------------------------------
Damjan Krstajic
Director
Research Centre for Cheminformatics
Belgrade, Serbia
----------------------------------------------
_________________________________________________________________
Tell us your greatest, weirdest and funniest Hotmail stories
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2017 Dec 11

1

Gaussian Process Classification R packages

...ocess model binary classification."
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 Breathed in his "Bloom County" comic strip )
On Mon, Dec 11, 2017 at 4:53 AM, Damjan Krstajic <dkrstajic at hotmail.com>
wrote:
> Dear All,
>
>
> I am struggling to find an R package which contains a function for
> building a Gaussian Process model for binary classification which may
> produce prediction intervals for predicted probabilities. I would be
> gratefu...

2007 Jan 05

0

outsourcing R work

..., Serbia
http://www.rcc.org.yu . We have skilled statisticians experienced in R,
fluent in English and with work experience in the West.
For more information please check our website
http://www.rcc.org.yu/outsourcing.htm or contact me.
Kind regards,
DK
-----------------
Damjan Krstajic
Director
Research Centre for Cheminformatics
e-mail: Damjan.Krstajic at rcc.org.yu
www.rcc.org.yu

2011 Dec 27

2

differences between 1.7 and 1.7.1 glmnet versions

Dear All,
?
I have found differences between glmnet versions 1.7 and 1.7.1 which, in
my opinion, are not cosmetic and do not appear in the ChangeLog. If I am
not mistaken, glmnet appears to return different number of selected
input variables, i.e. nonzeroCoef(fit$beta[[1]]) differes between
versions. The code below is the same for 1.7.1 and 1.7, but you can see
that outputs differ. I would

2017 Dec 11

1

Gaussian Process Classification R packages

Dear All,
I am struggling to find an R package which contains a function for building a Gaussian Process model for binary classification which may produce prediction intervals for predicted probabilities. I would be grateful if somebody could point me to such package.
Thank you very much in advance.
DK
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2010 Dec 09

3

survival: ridge log-likelihood workaround

Dear all,
I need to calculate likelihood ratio test for ridge regression. In February I have reported a bug where coxph returns unpenalized log-likelihood for final beta estimates for ridge coxph regression. In high-dimensional settings ridge regression models usually fail for lower values of lambda. As the result of it, in such settings the ridge regressions have higher values of lambda (e.g.

2009 Jun 17

1

nearZeroVar in caret fails

I am using R version 2.6.0 on Linux (CentOS 4.5) and have a problem with executing nearZeroVar function in the package caret.
I am using the latest release of caret v4.17.
I have a matrix X with 266 rows and 4 columns and when implementing nearZeroVar function from caret package I get following error message.
> C <- nearZeroVar(X);
Error in table(data, useNA = "no") :
all

2010 Dec 02

0

survival - summary and score test for ridge coxph()

It seems to me that summary for ridge coxph() prints summary but returns NULL. It is not a big issue because one can calculate statistics directly from a coxph.object. However, for some reason the score test is not calculated for ridge coxph(), i.e score nor rscore components are not included in the coxph object when ridge is specified. Please find the code below. I use 2.9.2 R with 2.35-4 version

2010 Feb 16

1

survival - ratio likelihood for ridge coxph()

It seems to me that R returns the unpenalized log-likelihood for the ratio likelihood test when ridge regression Cox proportional model is implemented. Is this as expected?
In the example below, if I am not mistaken, fit$loglik[2] is unpenalized log-likelihood for the final estimates of coefficients. I would expect to get the penalized log-likelihood. I would like to check if this is as expected.