BayesSummaryStatLM

Package: BayesSummaryStatLM
Type: Package
Title: MCMC Sampling of Bayesian Linear Models via Summary Statistics
Version: 1.0-1
Date: 2015-01-01
Author: Evgeny Savel'ev, Alexey Miroshnikov, Erin Conlon
Maintainer: Evgeny Savel'ev <savelev@vt.edu>
Description: Methods for generating Markov Chain Monte Carlo (MCMC) posterior samples of Bayesian linear regression model parameters that require only summary statistics of data as input. Summary statistics are useful for systems with very limited amounts of physical memory. The package provides two functions: one function that computes summary statistics of data and one function that carries out the MCMC posterior sampling for Bayesian linear regression models where summary statistics are used as input. The function read.regress.data.ff utilizes the R package 'ff' to handle data sets that are too large to fit into a user's physical memory, by reading in data in chunks.
Depends: R (>= 3.1.1), mvnfast, ff
License: GPL (>= 2)
Packaged: 2015-03-02 18:42:16 UTC; evgeny
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2015-03-03 01:13:40

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'BayesSummaryStatLM' ...
** package 'BayesSummaryStatLM' successfully unpacked and MD5 sums checked
** R
** data
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'BayesSummaryStatLM'
    finding HTML links ... done
    bayes.regress                           html  
    read.regress.data.ff                    html  
    finding level-2 HTML links ... done

    regressiondata.nz.all                   html  
    regressiondata.nz.pt1                   html  
    regressiondata.nz.pt2                   html  
** building package indices
** testing if installed package can be loaded
* DONE (BayesSummaryStatLM)
Making 'packages.html' ... done