R-hergm-1.3.11-2-rosa2014.1.x86_64.rpm


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Description

R-hergm - Hierarchical Exponential-Family Random Graph Models

Property Value
Distribution ROSA 2014.1
Repository ROSA Contrib x86_64
Package name R-hergm
Package version 1.3.11
Package release 2-rosa2014.1
Package architecture x86_64
Package type rpm
Installed size 348.47 KB
Download size 153.74 KB
Official Mirror mirror.rosalab.ru
The R package 'hergm' implements Hierarchical Exponential-Family Random
Graph Models (HERGMs), which can be used to model a wide range of
relational data (networks). 'hergm' implements both simulation and
Bayesian inference.

Alternatives

Package Version Architecture Repository
R-hergm-1.3.11-2-rosa2014.1.i586.rpm 1.3.11 i586 ROSA Contrib
R-hergm - - -

Requires

Name Value
R-ergm -
R-snow -
libR.so()(64bit) -
libc.so.6()(64bit) -
libc.so.6(GLIBC_2.14)(64bit) -
libc.so.6(GLIBC_2.2.5)(64bit) -

Provides

Name Value
R-hergm == 1.3.11-2:2014.1
hergm.so()(64bit) -

Download

Type URL
Binary Package R-hergm-1.3.11-2-rosa2014.1.x86_64.rpm
Source Package R-hergm-1.3.11-2.src.rpm

Install Howto

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

Files

Path
/usr/lib64/R/library/hergm/CITATION
/usr/lib64/R/library/hergm/DESCRIPTION
/usr/lib64/R/library/hergm/INDEX
/usr/lib64/R/library/hergm/NAMESPACE
/usr/lib64/R/library/hergm/Meta/Rd.rds
/usr/lib64/R/library/hergm/Meta/data.rds
/usr/lib64/R/library/hergm/Meta/demo.rds
/usr/lib64/R/library/hergm/Meta/hsearch.rds
/usr/lib64/R/library/hergm/Meta/links.rds
/usr/lib64/R/library/hergm/Meta/nsInfo.rds
/usr/lib64/R/library/hergm/Meta/package.rds
/usr/lib64/R/library/hergm/R/hergm
/usr/lib64/R/library/hergm/R/hergm.rdb
/usr/lib64/R/library/hergm/R/hergm.rdx
/usr/lib64/R/library/hergm/data/bali.RData
/usr/lib64/R/library/hergm/data/example.RData
/usr/lib64/R/library/hergm/demo/example.r
/usr/lib64/R/library/hergm/help/AnIndex
/usr/lib64/R/library/hergm/help/aliases.rds
/usr/lib64/R/library/hergm/help/hergm.rdb
/usr/lib64/R/library/hergm/help/hergm.rdx
/usr/lib64/R/library/hergm/help/paths.rds
/usr/lib64/R/library/hergm/html/00Index.html
/usr/lib64/R/library/hergm/html/R.css
/usr/lib64/R/library/hergm/html/bali.html
/usr/lib64/R/library/hergm/html/example.html
/usr/lib64/R/library/hergm/html/hergm-internal.html
/usr/lib64/R/library/hergm/html/hergm.dirichlet.html
/usr/lib64/R/library/hergm/html/hergm.html
/usr/lib64/R/library/hergm/html/hergm.postprocess.html
/usr/lib64/R/library/hergm/html/hergm.terms.html
/usr/lib64/R/library/hergm/libs/hergm.so

Changelog

2014-07-25 - Denis Silakov <denis.silakov@rosalab.ru> 1.3.11-2
+ Revision: 4477d1e
- MassBuild#464: Increase release tag

See Also

Package Description
R-hexbin-1.26.3-2-rosa2014.1.x86_64.rpm Hexagonal Binning Routines
R-hgu133a.db-2.10.1-2-rosa2014.1.noarch.rpm Affymetrix Human Genome U133 Set annotation data (chip hgu133a)
R-hgu133acdf-2.13.0-2-rosa2014.1.noarch.rpm hgu133acdf
R-hgu133aprobe-2.13.0-2-rosa2014.1.noarch.rpm Probe sequence data for microarrays of type hgu133a
R-hgu133plus2.db-2.10.1-2-rosa2014.1.noarch.rpm Affymetrix Human Genome U133 Plus 2.0 Array annotation data (chip hgu133plus2)
R-hgu95av2.db-2.10.1-2-rosa2014.1.noarch.rpm Affymetrix Human Genome U95 Set annotation data (chip hgu95av2)
R-hgu95av2cdf-2.13.0-2-rosa2014.1.noarch.rpm hgu95av2cdf
R-hgu95av2probe-2.13.0-2-rosa2014.1.noarch.rpm Probe sequence data for microarrays of type hgu95av2
R-highlight-0.4.4-1-rosa2014.1.x86_64.rpm Syntax highlighter
R-highr-0.3-3-rosa2014.1.noarch.rpm Syntax highlighting for R
R-hmeasure-1.0-2-rosa2014.1.x86_64.rpm The H-measure and other scalar classification performance metrics
R-hom.Hs.inp.db-2.10.1-2-rosa2014.1.noarch.rpm Homology information for Homo Sapiens from Inparanoid
R-hu6800.db-2.10.1-2-rosa2014.1.noarch.rpm Affymetrix HuGeneFL Genome Array annotation data (chip hu6800)
R-human.db0-2.10.1-2-rosa2014.1.noarch.rpm Base Level Annotation databases for human
R-humanStemCell-0.2.9-2-rosa2014.1.noarch.rpm Human Stem Cells time course experiment
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