search for: gpls

Hello, I am using the gpls package for modelling vegetation classes. My problem is that I now want to know which input variables are significant for the modelling of the classes to recalculate the equation again with just the selected variables. I think I can analyse the significance of the variables via their weights. I u...

How to select the number of PLS components for GPLS for data sets with few samples? Concrete problem: My data set: 9 samples of class A and 37 of class B with 254 descriptors. In the paper: "Classification Using Generalized Partial Least Squares", Beiying Ding, Robert Gentleman, Bioconductor Project Working Papers, year 2004, paper...

...glmboost, gamboost, logitboost), bagged models (trees, earth, fda), randomforests (randomforest and cforest), rule-based models (Ripper and M5 prime), discriminant models (lda, fda, rda, ssda, slda), kernel methods (lssvm, ksvm, rvm, gausspr), nnet, nnet with initial pca step, multinom, pls, plsda, gpls, nearest shrunken centroids, the lasso, the elastic net, supervised pca, knn, lvq and NaiveBayes. Recent changes include: - Estimation of class probabilities from PLS discriminant analysis using Bayes rule (in addition to softmax) - Added predict.train and predit.list - More lattice plots to visu...

Dear R-helpers, I am looking, quite unsuccesfully, for a number of functions/packages. Firstly, I am interested in a package for partial least squares. I have found that there seemed to exist a package called pls, but which seems not to run any more with modern versions of R. I have not been able to find certain "chemometrics package" I found some people discussing about in this

Check out the gpls package on CRAN. HTH, Andy > From: Min-Han Tan > > Good morning, > > Thank you all for your help so far. I really appreciate it. > > The crux of my problem is that I am generating a generalized linear > model with 1 dependent variable, approximately 50 training samples...

...glmboost, gamboost, logitboost), bagged models (trees, earth, fda), randomforests (randomforest and cforest), rule-based models (Ripper and M5 prime), discriminant models (lda, fda, rda, ssda, slda), kernel methods (lssvm, ksvm, rvm, gausspr), nnet, nnet with initial pca step, multinom, pls, plsda, gpls, nearest shrunken centroids, the lasso, the elastic net, supervised pca, knn, lvq and NaiveBayes. Recent changes include: - Estimation of class probabilities from PLS discriminant analysis using Bayes rule (in addition to softmax) - Added predict.train and predit.list - More lattice plots to visu...

...the MSE (because it rightly thinks it has a regression problem), but that will almost certainly not be the thing to do for classification. You have two choices: Do your own CV, or modify code in pls.pcr to do the "right" CV when given classification data. You might want to look at the `gpls' package, which started out as part of BioConductor, then was made available on CRAN, but now seem to have move back to BioConductor. It treats classification problems in a more `natural' way. HTH, Andy > From: Huh, Seungho > > Dear members, > > My name is Seungho Huh. I...

Friends, Is there a Partial Least Squares package implemented in R? Thanks, Lana [[alternative HTML version deleted]]

...=================================== All packages from the 1.3 release are included. All current bug fixes have been applied, and most have upgraded and provide enhanced functionality. SOME OF THE MAJOR UPGRADES FOR RELEASE 1.4: =========================================== -- Proteomics (PROcess, gpls, apComplex) -- Array CGH (DNAcopy, aCGH) -- Cell cycle analysis (GeneTS) -- Packages for lab assay analysis and management (prada) -- Agilent arrays handling in limma -- Annotation tools (Resourcer, GOstat, goTools, ontoTools) -- Improved interfaces (limmaGUI, affylmGUI, webbioc, -- MAGE fi...

...() now works on objects of class exprSet. This lets one access the extensive modeling facilities through formula offered by R and packages like 'nlm'. --- factDesign: A package containing functions useful for analyzing data from factorial designed microarray experiments. --- gpls: Classification using partial least squares (PLS), a popular dimension reduction tool in chemometrics, in the context of generalized linear regression based on a previous approach, Iteratively ReWeighted Partial Least Squares (IRWPLS) by Marx (1996). Both two-group and multi-group...

...() now works on objects of class exprSet. This lets one access the extensive modeling facilities through formula offered by R and packages like 'nlm'. --- factDesign: A package containing functions useful for analyzing data from factorial designed microarray experiments. --- gpls: Classification using partial least squares (PLS), a popular dimension reduction tool in chemometrics, in the context of generalized linear regression based on a previous approach, Iteratively ReWeighted Partial Least Squares (IRWPLS) by Marx (1996). Both two-group and multi-group...

I wondered if there were standard practices in CRAN for delivery of R source implementing functions in R packages. I has encountered a couple of packages where the gzipped version of source contains very little, primarily the Help files describing the functions in the package. In some cases I can find the source as the value of the function name. Given that these packages are released as GPL,

I have recently upgraded to Ubuntu Gutsy and, for the first time, am using a 64-bit installation. After failing miserably to install R from source, not a problem for me in the past with a 32-bit install, I went the route of using the Debian Etch build. This went smoothly, but I am unable to update my numerous R and BioConductor packages, getting non-zero exit status errors on each package. Is

...,"geoRglm","ggm","ggplot","giRaph","gld","gllm","glmmML","glmpath","glpk","gmodels","gmp","gmt","gnm","GPArotation","gpclib","gplots","gpls","graphics","grasper","GRASS","gRbase","grDevices","gregmisc","grid","gridBase","grnnR","grouped","GroupSeq","gss","gstat","gsubfn","gtools",&qu...

Les Mikesell <lesmikesell at gmail.com> wrote: > On Mon, Apr 27, 2015 at 11:16 AM, Joerg Schilling > <Joerg.Schilling at fokus.fraunhofer.de> wrote: > > > > > You should read the GPL and get help to understand it. The GPL does not forbid > > this linking. In contrary, the GPOL allows any GPLd program to be linked > > against any library under and

Hi all, I'm giving a talk in a few days to a group of psychology faculty and grad students re the R statistical language. Most people in my dept. use SAS or SPSS. It occurred to me that it would be nice to have a few concrete examples of things that are fairly straightforward to do in R but that are difficult or impossible to do in SAS or SPSS. However, it has been so long since I have used

http://www.businessinsider.com/red-hat-ceo-go-ahead-copy-our-software-2013-8 Title says is all. Nice to know RH understands and accepts the relationship between CentOS and RHEL. Although it is complex. After all, if too many choose CentOS, there may no longer be a CentOS. However, I don't think I would refer to CentOS as a "parasite" as the author Matt Asay does. More appropriate

I intend to release a project I wrote with Rails. What is the right licensing scheme for a web application (content managing system) which could grow with plugins and add-ons ? Personally, I would prefer the GPL but does that mean any add-on to the CMS (like task management) will have to be GPL ? If some people contribute to the code could it still be double-licenced so that the people who