search for: krstajic

Displaying 20 results from an estimated 25 matches for "krstajic".

2017 Dec 11
2
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 12
2
Gaussian Process Classification R packages
...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 > &g...
2017 Dec 11
2
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...
2017 Dec 12
0
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
0
Gaussian Process Classification R packages
...ps://stats.stackexchange.com/questions/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 11
0
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
0
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...
2010 Mar 06
3
scientific (statistical) foundation for Y-RANDOMIZATION in regression analysis
...the 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 [[alternative HTML version deleted]]
2017 Dec 11
2
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 [[alternative HTML version deleted]]
2007 Jan 05
0
outsourcing R work
...ormatics in Belgrade, 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
2009 Jun 30
2
NaiveBayes fails with one input variable (caret and klarR packages)
Hello, We have a system which creates thousands of regression/classification models and in cases where we have only one input variable NaiveBayes throws an error. Maybe I am mistaken and I shouldn't expect to have a model with only one input variable. We use R version 2.6.0 (2007-10-03). We use caret (v4.1.19), but have tested similar code with klaR (v.0.5.8), because caret relies on
2009 Oct 08
1
statistics and R package for election results
Dear all, Is there any R package which would help in analysing election results between two elections? Does anybody know any good papers which are related to this field? I am a statistician and my main research area so far has been regression and classification modelling. The analysis of two election results is new to me. Thanks in advance. Kind regards DK
2010 Mar 14
1
confidence intervals for non-linear regression
...alue. However, I am interested to find if there is any unique approach, maybe using bootstrap, which can be used on f() where f() is kind of black box. Any references to the literature or R packages would be very welcome. Thanks in advance. DK ---------------------------------------------- Damjan Krstajic Director Research Centre for Cheminformatics Belgrade, Serbia ---------------------------------------------- _________________________________________________________________ Send us your Hotmail stories and be featured in our newsletter [[alternative HTML version deleted]]
2012 May 16
1
survival survfit with newdata
Dear all, I am confused with the behaviour of survfit with newdata option. I am using the latest version R-2-15-0. In the simple example below I am building a coxph model on 90 patients and trying to predict 10 patients. Unfortunately the survival curve at the end is for 90 patients. Could somebody please from the survival package confirm that this behaviour is as expected or not - because I
2009 Nov 11
1
Introducing R to statisticians
Dear all, I will present R language and R software environment to the Statistical Society of Serbia. As I will doing it to professional statisticians it seems unneccesary to me to present them how R language works in details. I am more interested to present them with the latest facts regarding R (approximately number of users, number of add-on packages etc.) and in general why they should start
2011 Dec 27
1
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
2010 Dec 11
0
is there a packge or code to generate markov chains in R
...ion, but the answer is not enought explanatory... Thanks a lot, Francesco [[alternative HTML version deleted]] ------------------------------ Message: 33 Date: Fri, 10 Dec 2010 09:07:42 -0600 From: Terry Therneau <therneau at mayo.edu> To: r-help at r-project.org, Damjan Krstajic <dkrstajic at hotmail.com> Subject: Re: [R] survival: ridge log-likelihood workaround Message-ID: <1291993662.26439.22.camel at punchbuggy> Content-Type: text/plain ------ begin inclusion --------- Dear all, I need to calculate likelihood ratio test for ridge regression. In February I...
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
2008 Feb 26
1
predict.rpart question
Dear All, I have a question regarding predict.rpart. I use rpart to build classification and regression trees and I deal with data with relatively large number of input variables (predictors). For example, I build an rpart model like this rpartModel <- rpart(Y ~ X, method="class", minsplit =1, minbucket=nMinBucket,cp=nCp); and get predictors used in building the model like