R-kernlab-0.9.19-3-rosa2014.1.x86_64.rpm


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Description

R-kernlab - Kernel-based Machine Learning Lab

Property Value
Distribution ROSA 2014.1
Repository ROSA Contrib x86_64
Package name R-kernlab
Package version 0.9.19
Package release 3-rosa2014.1
Package architecture x86_64
Package type rpm
Installed size 2.22 MB
Download size 1.52 MB
Official Mirror mirror.rosalab.ru
Kernel-based machine learning methods for classification, regression,
clustering, novelty detection, quantile regression and dimensionality
reduction. Among other methods kernlab includes Support Vector Machines,
Spectral Clustering, Kernel PCA and a QP solver.

Alternatives

Package Version Architecture Repository
R-kernlab-0.9.20-1-rosa2014.1.i586.rpm 0.9.20 i586 ROSA Contrib Updates
R-kernlab-0.9.20-1-rosa2014.1.x86_64.rpm 0.9.20 x86_64 ROSA Contrib Updates
R-kernlab-0.9.19-3-rosa2014.1.i586.rpm 0.9.19 i586 ROSA Contrib
R-kernlab - - -

Requires

Name Value
R-methods -
libR.so()(64bit) -
libblas.so.3()(64bit) -
libc.so.6()(64bit) -
libc.so.6(GLIBC_2.14)(64bit) -
libc.so.6(GLIBC_2.2.5)(64bit) -
libc.so.6(GLIBC_2.4)(64bit) -
libgcc_s.so.1()(64bit) -
libgcc_s.so.1(GCC_3.0)(64bit) -
liblapack.so.3()(64bit) -
libm.so.6()(64bit) -
libm.so.6(GLIBC_2.2.5)(64bit) -
libstdc++.so.6()(64bit) -
libstdc++.so.6(CXXABI_1.3)(64bit) -
libstdc++.so.6(GLIBCXX_3.4)(64bit) -
libstdc++.so.6(GLIBCXX_3.4.11)(64bit) -
libstdc++.so.6(GLIBCXX_3.4.9)(64bit) -

Provides

Name Value
R-kernlab == 0.9.19-3:2014.1
kernlab.so()(64bit) -

Download

Type URL
Binary Package R-kernlab-0.9.19-3-rosa2014.1.x86_64.rpm
Source Package R-kernlab-0.9.19-3.src.rpm

Install Howto

  1. Enable ROSA Contrib repository on Install and Remove Software"
  2. Update packages list:
    # urpmi.update -a
  3. Install R-kernlab rpm package:
    # urpmi R-kernlab

Files

Path
/usr/lib64/R/library/kernlab/CITATION
/usr/lib64/R/library/kernlab/COPYRIGHTS
/usr/lib64/R/library/kernlab/DESCRIPTION
/usr/lib64/R/library/kernlab/INDEX
/usr/lib64/R/library/kernlab/NAMESPACE
/usr/lib64/R/library/kernlab/Meta/Rd.rds
/usr/lib64/R/library/kernlab/Meta/data.rds
/usr/lib64/R/library/kernlab/Meta/hsearch.rds
/usr/lib64/R/library/kernlab/Meta/links.rds
/usr/lib64/R/library/kernlab/Meta/nsInfo.rds
/usr/lib64/R/library/kernlab/Meta/package.rds
/usr/lib64/R/library/kernlab/Meta/vignette.rds
/usr/lib64/R/library/kernlab/R/kernlab
/usr/lib64/R/library/kernlab/R/kernlab.rdb
/usr/lib64/R/library/kernlab/R/kernlab.rdx
/usr/lib64/R/library/kernlab/data/income.rda
/usr/lib64/R/library/kernlab/data/musk.rda
/usr/lib64/R/library/kernlab/data/promotergene.rda
/usr/lib64/R/library/kernlab/data/reuters.rda
/usr/lib64/R/library/kernlab/data/spam.rda
/usr/lib64/R/library/kernlab/data/spirals.rda
/usr/lib64/R/library/kernlab/data/ticdata.rda
/usr/lib64/R/library/kernlab/doc/index.html
/usr/lib64/R/library/kernlab/doc/kernlab.R
/usr/lib64/R/library/kernlab/doc/kernlab.Rnw
/usr/lib64/R/library/kernlab/doc/kernlab.pdf
/usr/lib64/R/library/kernlab/help/AnIndex
/usr/lib64/R/library/kernlab/help/aliases.rds
/usr/lib64/R/library/kernlab/help/kernlab.rdb
/usr/lib64/R/library/kernlab/help/kernlab.rdx
/usr/lib64/R/library/kernlab/help/paths.rds
/usr/lib64/R/library/kernlab/html/00Index.html
/usr/lib64/R/library/kernlab/html/R.css
/usr/lib64/R/library/kernlab/html/as.kernelMatrix.html
/usr/lib64/R/library/kernlab/html/couple.html
/usr/lib64/R/library/kernlab/html/csi-class.html
/usr/lib64/R/library/kernlab/html/csi.html
/usr/lib64/R/library/kernlab/html/dots.html
/usr/lib64/R/library/kernlab/html/gausspr-class.html
/usr/lib64/R/library/kernlab/html/gausspr.html
/usr/lib64/R/library/kernlab/html/inchol-class.html
/usr/lib64/R/library/kernlab/html/inchol.html
/usr/lib64/R/library/kernlab/html/income.html
/usr/lib64/R/library/kernlab/html/inlearn.html
/usr/lib64/R/library/kernlab/html/ipop-class.html
/usr/lib64/R/library/kernlab/html/ipop.html
/usr/lib64/R/library/kernlab/html/kcca-class.html
/usr/lib64/R/library/kernlab/html/kcca.html
/usr/lib64/R/library/kernlab/html/kernel-class.html
/usr/lib64/R/library/kernlab/html/kernelMatrix.html
/usr/lib64/R/library/kernlab/html/kfa-class.html
/usr/lib64/R/library/kernlab/html/kfa.html
/usr/lib64/R/library/kernlab/html/kha-class.html
/usr/lib64/R/library/kernlab/html/kha.html
/usr/lib64/R/library/kernlab/html/kkmeans.html
/usr/lib64/R/library/kernlab/html/kmmd-class.html
/usr/lib64/R/library/kernlab/html/kmmd.html
/usr/lib64/R/library/kernlab/html/kpca-class.html
/usr/lib64/R/library/kernlab/html/kpca.html
/usr/lib64/R/library/kernlab/html/kqr-class.html
/usr/lib64/R/library/kernlab/html/kqr.html
/usr/lib64/R/library/kernlab/html/ksvm-class.html
/usr/lib64/R/library/kernlab/html/ksvm.html
/usr/lib64/R/library/kernlab/html/lssvm-class.html
/usr/lib64/R/library/kernlab/html/lssvm.html
/usr/lib64/R/library/kernlab/html/musk.html
/usr/lib64/R/library/kernlab/html/onlearn-class.html
/usr/lib64/R/library/kernlab/html/onlearn.html
/usr/lib64/R/library/kernlab/html/plot.html
/usr/lib64/R/library/kernlab/html/prc-class.html
/usr/lib64/R/library/kernlab/html/predict.gausspr.html
/usr/lib64/R/library/kernlab/html/predict.kqr.html
/usr/lib64/R/library/kernlab/html/predict.ksvm.html
/usr/lib64/R/library/kernlab/html/promotergene.html
/usr/lib64/R/library/kernlab/html/ranking-class.html
/usr/lib64/R/library/kernlab/html/ranking.html
/usr/lib64/R/library/kernlab/html/reuters.html
/usr/lib64/R/library/kernlab/html/rvm-class.html
/usr/lib64/R/library/kernlab/html/rvm.html
/usr/lib64/R/library/kernlab/html/sigest.html
/usr/lib64/R/library/kernlab/html/spam.html
/usr/lib64/R/library/kernlab/html/specc-class.html
/usr/lib64/R/library/kernlab/html/specc.html
/usr/lib64/R/library/kernlab/html/spirals.html
/usr/lib64/R/library/kernlab/html/stringdot.html
/usr/lib64/R/library/kernlab/html/ticdata.html
/usr/lib64/R/library/kernlab/html/vm-class.html
/usr/lib64/R/library/kernlab/libs/kernlab.so

Changelog

2014-07-25 - Denis Silakov <denis.silakov@rosalab.ru> 0.9.19-3
+ Revision: cc919df
- MassBuild#464: Increase release tag

See Also

Package Description
R-kinship2-1.5.4-2-rosa2014.1.x86_64.rpm Pedigree functions
R-klaR-0.6.12-1-rosa2014.1.noarch.rpm Classification and visualization
R-knitr-1.5-2-rosa2014.1.x86_64.rpm A general-purpose package for dynamic report generation in R
R-ks-1.9.3-1-rosa2014.1.x86_64.rpm Kernel smoothing
R-labdsv-1.6.1-2-rosa2014.1.x86_64.rpm Ordination and Multivariate Analysis for Ecology
R-labeling-0.2-2-rosa2014.1.noarch.rpm Axis Labeling
R-latentnet-2.4.5-2-rosa2014.1.x86_64.rpm Latent position and cluster models for statistical networks
R-latticeExtra-0.6.26-2-rosa2014.1.noarch.rpm Extra Graphical Utilities Based on Lattice
R-latticist-0.9_44-3-rosa2014.1.x86_64.rpm A graphical user interface for exploratory visualisation
R-lavaan-0.5.16-2-rosa2014.1.noarch.rpm Latent Variable Analysis
R-lawstat-2.4.1-2-rosa2014.1.noarch.rpm An R package for biostatistics, public policy, and law
R-leaps-2.9-3-rosa2014.1.x86_64.rpm regression subset selection
R-leeBamViews-0.99.13-3-rosa2014.1.x86_64.rpm leeBamViews -- multiple yeast RNAseq samples excerpted from Lee 2009
R-limma-3.18.2-2-rosa2014.1.x86_64.rpm Linear Models for Microarray Data
R-lme4-1.1.5-2-rosa2014.1.x86_64.rpm Linear mixed-effects models using S4 classes
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