R-CoxBoost-1.4-2-rosa2014.1.x86_64.rpm


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Description

R-CoxBoost - Cox models by likelihood based boosting

Property Value
Distribution ROSA 2014.1
Repository ROSA Contrib x86_64
Package name R-CoxBoost
Package version 1.4
Package release 2-rosa2014.1
Package architecture x86_64
Package type rpm
Installed size 152.25 KB
Download size 93.43 KB
Official Mirror mirror.rosalab.ru
This package provides routines for fitting Cox models by likelihood based
boosting for a single endpoint or in presence of competing risks

Alternatives

Package Version Architecture Repository
R-CoxBoost-1.4-2-rosa2014.1.i586.rpm 1.4 i586 ROSA Contrib
R-CoxBoost - - -

Requires

Name Value
R-Matrix -
R-multicore -
R-prodlim -
R-snowfall -
R-survival -
libc.so.6()(64bit) -
libc.so.6(GLIBC_2.2.5)(64bit) -

Provides

Name Value
CoxBoost.so()(64bit) -
R-CoxBoost == 1.4-2:2014.1
R-cran-CoxBoost == 1.4-2:2014.1

Obsoletes

Name Value
R-cran-CoxBoost < 1.4-2:2014.1

Download

Type URL
Binary Package R-CoxBoost-1.4-2-rosa2014.1.x86_64.rpm
Source Package R-CoxBoost-1.4-2.src.rpm

Install Howto

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

Files

Path
/usr/lib64/R/library/CoxBoost/DESCRIPTION
/usr/lib64/R/library/CoxBoost/INDEX
/usr/lib64/R/library/CoxBoost/NAMESPACE
/usr/lib64/R/library/CoxBoost/Meta/Rd.rds
/usr/lib64/R/library/CoxBoost/Meta/hsearch.rds
/usr/lib64/R/library/CoxBoost/Meta/links.rds
/usr/lib64/R/library/CoxBoost/Meta/nsInfo.rds
/usr/lib64/R/library/CoxBoost/Meta/package.rds
/usr/lib64/R/library/CoxBoost/R/CoxBoost
/usr/lib64/R/library/CoxBoost/R/CoxBoost.rdb
/usr/lib64/R/library/CoxBoost/R/CoxBoost.rdx
/usr/lib64/R/library/CoxBoost/help/AnIndex
/usr/lib64/R/library/CoxBoost/help/CoxBoost.rdb
/usr/lib64/R/library/CoxBoost/help/CoxBoost.rdx
/usr/lib64/R/library/CoxBoost/help/aliases.rds
/usr/lib64/R/library/CoxBoost/help/paths.rds
/usr/lib64/R/library/CoxBoost/html/00Index.html
/usr/lib64/R/library/CoxBoost/html/CoxBoost.html
/usr/lib64/R/library/CoxBoost/html/R.css
/usr/lib64/R/library/CoxBoost/html/coef.CoxBoost.html
/usr/lib64/R/library/CoxBoost/html/cv.CoxBoost.html
/usr/lib64/R/library/CoxBoost/html/cvcb.control.html
/usr/lib64/R/library/CoxBoost/html/estimPVal.html
/usr/lib64/R/library/CoxBoost/html/iCoxBoost.html
/usr/lib64/R/library/CoxBoost/html/optimCoxBoostPenalty.html
/usr/lib64/R/library/CoxBoost/html/optimStepSizeFactor.html
/usr/lib64/R/library/CoxBoost/html/plot.CoxBoost.html
/usr/lib64/R/library/CoxBoost/html/predict.CoxBoost.html
/usr/lib64/R/library/CoxBoost/html/predict.iCoxBoost.html
/usr/lib64/R/library/CoxBoost/libs/CoxBoost.so

Changelog

2014-07-25 - Denis Silakov <denis.silakov@rosalab.ru> 1.4-2
+ Revision: 32f5f5b
- MassBuild#464: Increase release tag

See Also

Package Description
R-CreditMetrics-0.0_2-4-rosa2014.1.noarch.rpm Functions for calculating the CreditMetrics risk model
R-DAAG-1.18-3-rosa2014.1.x86_64.rpm Data Analysis And Graphics data and functions
R-DBI-0.2.7-2-rosa2014.1.x86_64.rpm R Database Interface
R-DESeq-1.14.0-2-rosa2014.1.x86_64.rpm Differential gene expression analysis based on negative binomial distribution
R-DEXSeq-1.8.0-3-rosa2014.1.x86_64.rpm Inference of differential exon usage in RNA-Seq
R-DEoptimR-1.0.1-2-rosa2014.1.noarch.rpm Differential Evolution Optimization in pure R
R-Deducer-0.7.6.1-2-rosa2014.1.noarch.rpm Deducer
R-DynDoc-1.40.0-2-rosa2014.1.noarch.rpm Dynamic document tools
R-EBImage-4.4.0-2-rosa2014.1.x86_64.rpm Image processing toolbox for R
R-ENmisc-1.2.7-2-rosa2014.1.noarch.rpm Neuwirth miscellaenous
R-EatonEtAlChIPseq-0.0.5-3-rosa2014.1.noarch.rpm ChIP-seq data of ORC-binding sites in Yeast excerpted from Eaton et al. 2010
R-Ecdat-0.2.4-2-rosa2014.1.noarch.rpm Data sets for econometrics
R-FDb.UCSC.tRNAs-1.0.0-1-rosa2014.1.noarch.rpm Annotation package for FeatureDb object(s)
R-FRB-1.8-2-rosa2014.1.noarch.rpm Fast and Robust Bootstrap
R-Fahrmeir-2012.04.0-2-rosa2014.1.noarch.rpm Multivariate Statistical Modelling Based on Generalized Linear Models data
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