R-logspline-2.1.5-2-rosa2014.1.x86_64.rpm


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Description

R-logspline - Logspline density estimation routines

Property Value
Distribution ROSA 2014.1
Repository ROSA Contrib x86_64
Package name R-logspline
Package version 2.1.5
Package release 2-rosa2014.1
Package architecture x86_64
Package type rpm
Installed size 226.48 KB
Download size 127.36 KB
Official Mirror mirror.rosalab.ru
Routines for the logspline density estimation. oldlogspline uses the same
algorithm as the logspline 1.0.x package - the Kooperberg and Stone (1992)
algorithm (with an improved interface). The recomended routine logspline
uses an algorithm from Stone et al (1997).

Alternatives

Package Version Architecture Repository
R-logspline-2.1.5-2-rosa2014.1.i586.rpm 2.1.5 i586 ROSA Contrib
R-logspline - - -

Requires

Name Value
libR.so()(64bit) -
libblas.so.3()(64bit) -
libc.so.6()(64bit) -
libc.so.6(GLIBC_2.2.5)(64bit) -
libm.so.6()(64bit) -
libm.so.6(GLIBC_2.2.5)(64bit) -

Provides

Name Value
R-logspline == 2.1.5-2:2014.1
logspline.so()(64bit) -

Download

Type URL
Binary Package R-logspline-2.1.5-2-rosa2014.1.x86_64.rpm
Source Package R-logspline-2.1.5-2.src.rpm

Install Howto

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

Files

Path
/usr/lib64/R/library/logspline/DESCRIPTION
/usr/lib64/R/library/logspline/INDEX
/usr/lib64/R/library/logspline/NAMESPACE
/usr/lib64/R/library/logspline/Meta/Rd.rds
/usr/lib64/R/library/logspline/Meta/hsearch.rds
/usr/lib64/R/library/logspline/Meta/links.rds
/usr/lib64/R/library/logspline/Meta/nsInfo.rds
/usr/lib64/R/library/logspline/Meta/package.rds
/usr/lib64/R/library/logspline/R/logspline
/usr/lib64/R/library/logspline/R/logspline.rdb
/usr/lib64/R/library/logspline/R/logspline.rdx
/usr/lib64/R/library/logspline/help/AnIndex
/usr/lib64/R/library/logspline/help/aliases.rds
/usr/lib64/R/library/logspline/help/logspline.rdb
/usr/lib64/R/library/logspline/help/logspline.rdx
/usr/lib64/R/library/logspline/help/paths.rds
/usr/lib64/R/library/logspline/html/00Index.html
/usr/lib64/R/library/logspline/html/R.css
/usr/lib64/R/library/logspline/html/dlogspline.html
/usr/lib64/R/library/logspline/html/doldlogspline.html
/usr/lib64/R/library/logspline/html/logspline.html
/usr/lib64/R/library/logspline/html/oldlogspline.html
/usr/lib64/R/library/logspline/html/oldlogspline.to.logspline.html
/usr/lib64/R/library/logspline/html/plot.logspline.html
/usr/lib64/R/library/logspline/html/plot.oldlogspline.html
/usr/lib64/R/library/logspline/html/summary.logspline.html
/usr/lib64/R/library/logspline/html/summary.oldlogspline.html
/usr/lib64/R/library/logspline/html/unstrip.html
/usr/lib64/R/library/logspline/libs/logspline.so

Changelog

2014-07-25 - Denis Silakov <denis.silakov@rosalab.ru> 2.1.5-2
+ Revision: d99b1fc
- MassBuild#464: Increase release tag

See Also

Package Description
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R-lpSolve-5.6.7-3-rosa2014.1.x86_64.rpm Interface to Lp_solve v. 5.5 to solve linear/integer programs
R-lqa-1.0.3-2-rosa2014.1.x86_64.rpm Penalized Likelihood Inference for GLMs
R-lungExpression-0.2.0-1-rosa2014.1.noarch.rpm ExpressionSets for Parmigiani et al., 2004 Clinical Cancer Research paper
R-mapproj-1.2.2-2-rosa2014.1.x86_64.rpm Map Projections
R-maps-2.3.7-2-rosa2014.1.x86_64.rpm Draw Geographical Maps
R-maptools-0.8.29-2-rosa2014.1.x86_64.rpm Tools for reading and handling spatial objects
R-markdown-0.6.4-3-rosa2014.1.x86_64.rpm Markdown rendering for R
R-marray-1.40.0-2-rosa2014.1.x86_64.rpm Exploratory analysis for two-color spotted microarray data
R-matrixcalc-1.0.3-2-rosa2014.1.noarch.rpm Collection of functions for matrix differential calculus
R-maxLik-1.2.0-2-rosa2014.1.noarch.rpm Maximum Likelihood Estimation
R-mboost-2.2.3-2-rosa2014.1.x86_64.rpm Model-Based Boosting
R-mclust-4.2-2-rosa2014.1.x86_64.rpm Model-Based Clustering / Normal Mixture Modeling
R-mda-0.4.4-2-rosa2014.1.x86_64.rpm Mixture and flexible discriminant analysis
R-mgcv-1.7.29-2-rosa2014.1.x86_64.rpm Mixed GAM Computation Vehicle with GCV/AIC/REML smoothness estimation
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