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2017 Dec 12
1
Gaussian Process Classification R packages
...77677/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<mailto: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 &gt...
2017 Dec 12
1
Gaussian Process Classification R packages
...terval > > [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 mod...
2017 Dec 11
1
Gaussian Process Classification R packages
...inary 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 > grateful if somebody...
2017 Dec 11
1
Gaussian Process Classification R packages
...inary 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<mailto: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 grateful if some...
2017 Dec 11
1
Gaussian Process Classification R packages
...7677/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 which produces a...
2017 Dec 11
1
Gaussian Process Classification R packages
...st 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. > > Well, you only said you were `struggling' to find a package. Bert may well have done the Google search himself and found numerous resources on such mod...
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 resources on such...
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 [[alternative HTML version deleted]]
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.
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$beta[[1]]) differes between versions. The code below is the same for 1.7.1 and 1.7, but you can see that outputs differ. I would
2009 Jun 17
1
nearZeroVar in caret fails
I am using R version 2.6.0 on Linux (CentOS 4.5) and have a problem with executing nearZeroVar function in the package caret. I am using the latest release of caret v4.17. I have a matrix X with 266 rows and 4 columns and when implementing nearZeroVar function from caret package I get following error message. > C <- nearZeroVar(X); Error in table(data, useNA = "no") : all
2010 Dec 02
0
survival - summary and score test for ridge coxph()
It seems to me that summary for ridge coxph() prints summary but returns NULL. It is not a big issue because one can calculate statistics directly from a coxph.object. However, for some reason the score test is not calculated for ridge coxph(), i.e score nor rscore components are not included in the coxph object when ridge is specified. Please find the code below. I use 2.9.2 R with 2.35-4 version
2010 Feb 16
1
survival - ratio likelihood for ridge coxph()
It seems to me that R returns the unpenalized log-likelihood for the ratio likelihood test when ridge regression Cox proportional model is implemented. Is this as expected? In the example below, if I am not mistaken, fit$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.
2010 Mar 06
4
scientific (statistical) foundation for Y-RANDOMIZATION in regression analysis
Dear all, I am a statistician doing research in QSAR, building regression models where the dependent variable is a numerical expression of some chemical activity and input variables are chemical descriptors, e.g. molecular weight, number of carbon atoms, etc. I am building regression models and I am confronted with a widely a technique called Y-RANDOMIZATION for which I have difficulties in