R-LearnBayes-2.12-2-rosa2014.1.noarch.rpm


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Description

R-LearnBayes - Functions for Learning Bayesian Inference

Property Value
Distribution ROSA 2014.1
Repository ROSA Contrib x86_64
Package name R-LearnBayes
Package version 2.12
Package release 2-rosa2014.1
Package architecture noarch
Package type rpm
Installed size 422.34 KB
Download size 260.70 KB
Official Mirror mirror.rosalab.ru
LearnBayes contains a collection of functions helpful in
learning the basic tenets of Bayesian statistical inference.
It contains functions for summarizing basic one and two
parameter posterior distributions and predictive distributions.
It contains MCMC algorithms for summarizing posterior
distributions defined by the user. It also contains functions
for regression models, hierarchical models, Bayesian tests, and
illustrations of Gibbs sampling.

Alternatives

Package Version Architecture Repository
R-LearnBayes-2.15-2-rosa2014.1.noarch.rpm 2.15 noarch ROSA Contrib Updates
R-LearnBayes-2.15-2-rosa2014.1.noarch.rpm 2.15 noarch ROSA Contrib Updates
R-LearnBayes-2.12-2-rosa2014.1.noarch.rpm 2.12 noarch ROSA Contrib
R-LearnBayes - - -

Requires

Name Value
R-core -

Provides

Name Value
R-LearnBayes == 2.12-2:2014.1

Download

Type URL
Binary Package R-LearnBayes-2.12-2-rosa2014.1.noarch.rpm
Source Package R-LearnBayes-2.12-2.src.rpm

Install Howto

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

Files

Path
/usr/lib64/R/library/LearnBayes/DESCRIPTION
/usr/lib64/R/library/LearnBayes/INDEX
/usr/lib64/R/library/LearnBayes/NAMESPACE
/usr/lib64/R/library/LearnBayes/Meta/Rd.rds
/usr/lib64/R/library/LearnBayes/Meta/data.rds
/usr/lib64/R/library/LearnBayes/Meta/demo.rds
/usr/lib64/R/library/LearnBayes/Meta/hsearch.rds
/usr/lib64/R/library/LearnBayes/Meta/links.rds
/usr/lib64/R/library/LearnBayes/Meta/nsInfo.rds
/usr/lib64/R/library/LearnBayes/Meta/package.rds
/usr/lib64/R/library/LearnBayes/R/LearnBayes
/usr/lib64/R/library/LearnBayes/R/LearnBayes.rdb
/usr/lib64/R/library/LearnBayes/R/LearnBayes.rdx
/usr/lib64/R/library/LearnBayes/data/Rdata.rdb
/usr/lib64/R/library/LearnBayes/data/Rdata.rds
/usr/lib64/R/library/LearnBayes/data/Rdata.rdx
/usr/lib64/R/library/LearnBayes/demo/Chapter.1.2.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.1.3.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.10.2.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.10.3.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.10.4.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.2.3.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.2.4.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.2.5.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.2.6.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.3.2.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.3.3.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.3.4.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.3.5.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.3.6.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.4.2.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.4.3.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.4.4.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.4.5.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.5.10.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.5.4.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.5.6.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.5.7.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.5.8.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.5.9.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.6.10.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.6.2.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.6.7.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.6.8.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.6.9.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.7.10.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.7.2.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.7.3.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.7.4.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.7.5.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.7.7.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.7.8.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.7.9.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.8.3.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.8.4.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.8.6.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.8.7.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.8.8.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.9.2.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.9.3.R
/usr/lib64/R/library/LearnBayes/demo/Chapter.9.4.R
/usr/lib64/R/library/LearnBayes/help/AnIndex
/usr/lib64/R/library/LearnBayes/help/LearnBayes.rdb
/usr/lib64/R/library/LearnBayes/help/LearnBayes.rdx
/usr/lib64/R/library/LearnBayes/help/aliases.rds
/usr/lib64/R/library/LearnBayes/help/paths.rds
/usr/lib64/R/library/LearnBayes/html/00Index.html
/usr/lib64/R/library/LearnBayes/html/R.css
/usr/lib64/R/library/LearnBayes/html/achievement.html
/usr/lib64/R/library/LearnBayes/html/baseball.1964.html
/usr/lib64/R/library/LearnBayes/html/bayes.influence.html
/usr/lib64/R/library/LearnBayes/html/bayes.model.selection.html
/usr/lib64/R/library/LearnBayes/html/bayes.probit.html
/usr/lib64/R/library/LearnBayes/html/bayesresiduals.html
/usr/lib64/R/library/LearnBayes/html/bermuda.grass.html
/usr/lib64/R/library/LearnBayes/html/beta.select.html
/usr/lib64/R/library/LearnBayes/html/betabinexch.html
/usr/lib64/R/library/LearnBayes/html/betabinexch0.html
/usr/lib64/R/library/LearnBayes/html/bfexch.html
/usr/lib64/R/library/LearnBayes/html/bfindep.html
/usr/lib64/R/library/LearnBayes/html/binomial.beta.mix.html
/usr/lib64/R/library/LearnBayes/html/birdextinct.html
/usr/lib64/R/library/LearnBayes/html/birthweight.html
/usr/lib64/R/library/LearnBayes/html/blinreg.html
/usr/lib64/R/library/LearnBayes/html/blinregexpected.html
/usr/lib64/R/library/LearnBayes/html/blinregpred.html
/usr/lib64/R/library/LearnBayes/html/bprobit.probs.html
/usr/lib64/R/library/LearnBayes/html/bradley.terry.post.html
/usr/lib64/R/library/LearnBayes/html/breastcancer.html
/usr/lib64/R/library/LearnBayes/html/calculus.grades.html
/usr/lib64/R/library/LearnBayes/html/cancermortality.html
/usr/lib64/R/library/LearnBayes/html/careertraj.setup.html
/usr/lib64/R/library/LearnBayes/html/cauchyerrorpost.html
/usr/lib64/R/library/LearnBayes/html/chemotherapy.html
/usr/lib64/R/library/LearnBayes/html/ctable.html
/usr/lib64/R/library/LearnBayes/html/darwin.html
/usr/lib64/R/library/LearnBayes/html/discint.html
/usr/lib64/R/library/LearnBayes/html/discrete.bayes.2.html
/usr/lib64/R/library/LearnBayes/html/discrete.bayes.html
/usr/lib64/R/library/LearnBayes/html/dmnorm.html
/usr/lib64/R/library/LearnBayes/html/dmt.html
/usr/lib64/R/library/LearnBayes/html/donner.html
/usr/lib64/R/library/LearnBayes/html/election.2008.html
/usr/lib64/R/library/LearnBayes/html/election.html
/usr/lib64/R/library/LearnBayes/html/footballscores.html
/usr/lib64/R/library/LearnBayes/html/gibbs.html
/usr/lib64/R/library/LearnBayes/html/groupeddatapost.html
/usr/lib64/R/library/LearnBayes/html/hearttransplants.html
/usr/lib64/R/library/LearnBayes/html/hiergibbs.html
/usr/lib64/R/library/LearnBayes/html/histprior.html
/usr/lib64/R/library/LearnBayes/html/howardprior.html
/usr/lib64/R/library/LearnBayes/html/impsampling.html
/usr/lib64/R/library/LearnBayes/html/indepmetrop.html
/usr/lib64/R/library/LearnBayes/html/iowagpa.html
/usr/lib64/R/library/LearnBayes/html/jeter2004.html
/usr/lib64/R/library/LearnBayes/html/laplace.html
/usr/lib64/R/library/LearnBayes/html/lbinorm.html
/usr/lib64/R/library/LearnBayes/html/logctablepost.html
/usr/lib64/R/library/LearnBayes/html/logisticpost.html
/usr/lib64/R/library/LearnBayes/html/logpoissgamma.html
/usr/lib64/R/library/LearnBayes/html/logpoissnormal.html
/usr/lib64/R/library/LearnBayes/html/marathontimes.html
/usr/lib64/R/library/LearnBayes/html/mnormt.onesided.html
/usr/lib64/R/library/LearnBayes/html/mnormt.twosided.html
/usr/lib64/R/library/LearnBayes/html/mycontour.html
/usr/lib64/R/library/LearnBayes/html/normal.normal.mix.html
/usr/lib64/R/library/LearnBayes/html/normal.select.html
/usr/lib64/R/library/LearnBayes/html/normchi2post.html
/usr/lib64/R/library/LearnBayes/html/normpostpred.html
/usr/lib64/R/library/LearnBayes/html/normpostsim.html
/usr/lib64/R/library/LearnBayes/html/ordergibbs.html
/usr/lib64/R/library/LearnBayes/html/pbetap.html
/usr/lib64/R/library/LearnBayes/html/pbetat.html
/usr/lib64/R/library/LearnBayes/html/pdisc.html
/usr/lib64/R/library/LearnBayes/html/pdiscp.html
/usr/lib64/R/library/LearnBayes/html/poissgamexch.html
/usr/lib64/R/library/LearnBayes/html/poisson.gamma.mix.html
/usr/lib64/R/library/LearnBayes/html/predplot.html
/usr/lib64/R/library/LearnBayes/html/prior.two.parameters.html
/usr/lib64/R/library/LearnBayes/html/puffin.html
/usr/lib64/R/library/LearnBayes/html/rdirichlet.html
/usr/lib64/R/library/LearnBayes/html/reg.gprior.post.html
/usr/lib64/R/library/LearnBayes/html/regroup.html
/usr/lib64/R/library/LearnBayes/html/rejectsampling.html
/usr/lib64/R/library/LearnBayes/html/rigamma.html
/usr/lib64/R/library/LearnBayes/html/rmnorm.html
/usr/lib64/R/library/LearnBayes/html/rmt.html
/usr/lib64/R/library/LearnBayes/html/robustt.html
/usr/lib64/R/library/LearnBayes/html/rtruncated.html
/usr/lib64/R/library/LearnBayes/html/rwmetrop.html
/usr/lib64/R/library/LearnBayes/html/schmidt.html
/usr/lib64/R/library/LearnBayes/html/simcontour.html
/usr/lib64/R/library/LearnBayes/html/sir.html
/usr/lib64/R/library/LearnBayes/html/sluggerdata.html
/usr/lib64/R/library/LearnBayes/html/soccergoals.html
/usr/lib64/R/library/LearnBayes/html/stanfordheart.html
/usr/lib64/R/library/LearnBayes/html/strikeout.html
/usr/lib64/R/library/LearnBayes/html/studentdata.html
/usr/lib64/R/library/LearnBayes/html/transplantpost.html
/usr/lib64/R/library/LearnBayes/html/triplot.html
/usr/lib64/R/library/LearnBayes/html/weibullregpost.html

Changelog

2014-07-25 - Denis Silakov <denis.silakov@rosalab.ru> 2.12-2
+ Revision: 0761b56
- MassBuild#464: Increase release tag

See Also

Package Description
R-MBESS-3.3.3-2-rosa2014.1.noarch.rpm MBESS
R-MCMCpack-1.3.3-2-rosa2014.1.x86_64.rpm Markov chain Monte Carlo (MCMC) Package
R-MEMSS-0.9.2-2-rosa2014.1.noarch.rpm Data sets from Mixed-effects Models in S
R-MPV-1.29-2-rosa2014.1.noarch.rpm Data Sets from Montgomery, Peck and Vining's Book
R-MatchIt-2.4_21-1-rosa2014.1.noarch.rpm The skew-normal and skew-t distributions
R-Matching-4.8.3.4-2-rosa2014.1.x86_64.rpm Multivariate and Propensity Score Matching with Balance Optimization
R-MatrixModels-0.3_1.1-1-rosa2014.1.noarch.rpm Modelling with Sparse And Dense Matrices
R-OpenMx-1.3.2_2301-1-rosa2014.1.x86_64.rpm Multipurpose Software for Statistical Modeling
R-OrganismDbi-1.4.0-3-rosa2014.1.x86_64.rpm Software to enable the smooth interfacing of different database packages
R-PBSmapping-2.66.53-2-rosa2014.1.x86_64.rpm Mapping Fisheries Data and Spatial Analysis Tools
R-PKPDmodels-0.3.2-2-rosa2014.1.x86_64.rpm Pharmacokinetic/pharmacodynamic models
R-R2HTML-2.2-3-rosa2014.1.x86_64.rpm HTML exportation for R objects
R-RANN-2.3.0-2-rosa2014.1.x86_64.rpm Fast Nearest Neighbour Search
R-RArcInfo-0.4_12-3-rosa2014.1.x86_64.rpm Functions to import data from Arc/Info V7.x binary coverages
R-RBGL-1.38.0-2-rosa2014.1.x86_64.rpm An interface to the BOOST graph library
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