similar to: How to address the following: CRAN packages not using Suggests conditionally

Thanks a lot, I?aki, this is a perfect solution! I already implemented it and it works great. I'll wait for 2 more days before I submit the revised package to CRAN - in order to give others to comment on it. Best regards, Ulrich On 01/22/2018 10:16 AM, I?aki ?car wrote: > Re-sending, since I forgot to include the list, sorry. I'm including > r-package-devel too this time, as it

On 01/22/2018 08:40 AM, Ulrich Bodenhofer wrote: > Thanks a lot, I?aki, this is a perfect solution! I already implemented > it and it works great. I'll wait for 2 more days before I submit the > revised package to CRAN - in order to give others to comment on it. It's very easy for 'pictures of code' (unevaluated code chunks in vignettes) to drift from the actual

Re-sending, since I forgot to include the list, sorry. I'm including r-package-devel too this time, as it seems more appropriate for this list. El 22 ene. 2018 10:11, "I?aki ?car" <i.ucar86 at gmail.com> escribi?: > > > El 22 ene. 2018 8:12, "Ulrich Bodenhofer" <bodenhofer at bioinf.jku.at> > escribi?: > > Dear colleagues, dear members of

Dear colleagues, This is to inform you that Version 1.3.0 of the R package apcluster has been released on CRAN yesterday. We did a major extension and overhaul of the package. Most importantly, we added Leveraged Affinity Propagation in fulfillment of multiple users requests. It should now be much easier to cluster large data sets. Apart from this extension, the interfaces to apcluster() and

Dear colleagues, This is to inform you that I will be giving a webinar on the apcluster package on Thursday, June 13, 2013, 7:00pm CEST (10:00am PDT). The outline of the one-hour webinar is as follows: - Introduction to affinity propagation (AP) clustering - The apcluster package, its algorithms, and visualization tools - Live apcluster demonstration - Question and Answer period To register

Dear colleagues, This is to inform you that Version 1.3.1 of the R package apcluster has been released on CRAN. We did a major improvement of heatmap and dendrogram plotting, as well as several minor improvements of the package. For more details, see the following URLs: http://www.bioinf.jku.at/software/apcluster/ http://cran.r-project.org/web/packages/apcluster/index.html Best regards,

On 03/27/2014 02:13 AM, Ulrich Bodenhofer wrote: > I fully agree, Michael, that this would be a great thing to have! I have > often wondered why R and the standard packages are still sticking so > much to the old-style S3 flavor though S4 is part of standard R. I > acknowledge that backward compatibility is important, but, as far as I > got it, redefining a function or S3 generic as

I fully agree, Michael, that this would be a great thing to have! I have often wondered why R and the standard packages are still sticking so much to the old-style S3 flavor though S4 is part of standard R. I acknowledge that backward compatibility is important, but, as far as I got it, redefining a function or S3 generic as an S4 generic should not harm existing functionality (if done

[cross-posted to R-devel and bioc-devel] Hi, I am trying to implement a 'sort' method in one of the CRAN packages I am maintaining ('apcluster'). I started with using setMethod("sort", ...) in my package, which worked fine. Since many users of my package are from the bioinformatics field, I want to ensure that my package works smoothly with Bioconductor. The problem

That might be worth thinking about generally, but it would still be nice to have the base generics pre-defined, so that people are not copy and pasting the definitions everywhere, hoping that they stay consistent. On Wed, Mar 26, 2014 at 6:13 AM, Gabriel Becker <gmbecker@ucdavis.edu>wrote: > Perhaps a patch to R such that generics don't clobber each-other's method > tables

On 03/27/2014 06:31 PM, Herv? Pag?s wrote: > On 03/27/2014 02:13 AM, Ulrich Bodenhofer wrote: >> [...] >> >> For the time being, it seems I have three options: >> >> 1) not supplying the sort() function yet (it is not yet in the release, >> but only in my internal devel version) >> 2) including a dependency to BiocGenerics >> 3) leaving the

CRAN (and crantastic) updates this week New packages ------------ * apcluster (1.0.1) Ulrich Bodenhofer http://crantastic.org/packages/apcluster The apcluster package implements Frey's and Dueck's Affinity Propagation clustering in R. The algorithms are analogous to the Matlab code published by Frey and Dueck. * BioPhysConnectoR (1.6-1) Franziska Hoffgaard

Hi, I just figured out that I accidentally posted my message in HTML, so I am retrying in plain text only. Sorry. I am currently extending one of our CRAN packages and ran into an unexpected problem when checking the source package. I got some warnings in the step "* checking for code/documentation mismatches". I double checked everything and did not see anything that would

Dear R users, I have recently encountered a problem with using the function `library` in order to load the package `kernlab`. My output of sessionInfo() is as follows: R version 2.10.1 (2009-12-14) x86_64-unknown-linux-gnu locale: [1] C attached base packages: [1] stats graphics grDevices utils datasets methods base I have installed the package by

Hi everyone, I am trying to install kernlab package, but failed many times by now on CentOS 6 operating system. FYI, I have no problem with this package installation on windows platform. Here is the error message: trying URL 'http://cran.wustl.edu/src/contrib/kernlab_0.9-18.tar.gz' Content type 'application/x-gzip' length 1069148 bytes (1.0 Mb) opened URL

Hi, this is a question about the R package kernlab. I use kernlab as a library in a C++ program. The host application defines a graph kernel (defined by me), generates a gram matrix and trains kernlab directly on this gram matrix, like this: regm<-ksvm(K,y,kernel="matrix"), where K is the n x n gram kernelMatrix of my kernel, and y is the R-vector of quantitative target values.

Hi, I tried to load the package "kernlab" under R-v11 and R-v10, however it gave error message: Error in library.dynam(lib, package, package.lib) : shared library 'kernlab' not found In addition: Warning message: package 'kernlab' was built under R version 2.12.0 Error: package/namespace load failed for 'kernlab' Has anybody loaded this successfully before?

A new version of kernlab has just been released. kernlab is a kernel-based Machine Learning package for R. kernlab includes the following functions: o ksvm() : Support Vector Machines for classification, regression, novelty detection, native multi-class classification, support for class-probability output and confidence intervals in regression. o gausspr()

A new version of kernlab has just been released. kernlab is a kernel-based Machine Learning package for R. kernlab includes the following functions: o ksvm() : Support Vector Machines for classification, regression, novelty detection, native multi-class classification, support for class-probability output and confidence intervals in regression. o gausspr()

Hello, I am using kernlab to do some binary classification on aminoacid strings. I am using a custom kernel, so i use the kernel="matrix" option of the ksvm method. My (normalized) kernel matrix is of size 1309*1309, my results vector has the same length. I am using C-svc. My kernlab call is something similiar to this: ksvm(kernel="matrix", kernelMatrix, trainingDataYs,