BayesSummaryStatLM: MCMC Sampling of Bayesian Linear Models via Summary Statistics
Version 1.0-1

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.

AuthorEvgeny Savel'ev, Alexey Miroshnikov, Erin Conlon
Date of publication2015-03-03 01:13:40
MaintainerEvgeny Savel'ev <savelev@vt.edu>
LicenseGPL (>= 2)
Version1.0-1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("BayesSummaryStatLM")

Popular man pages

bayes.regress: MCMC posterior sampling of Bayesian linear regression model...
read.regress.data.ff: Read in Tabulated Data and Compute Summary Statistics
regressiondata.nz.all: Simulated data for Bayesian linear regression models, for use...
regressiondata.nz.pt1: Simulated data for Bayesian linear regression models, for use...
regressiondata.nz.pt2: Simulated data for Bayesian linear regression models, for use...
See all...

All man pages Function index File listing

Man pages

bayes.regress: MCMC posterior sampling of Bayesian linear regression model...
read.regress.data.ff: Read in Tabulated Data and Compute Summary Statistics
regressiondata.nz.all: Simulated data for Bayesian linear regression models, for use...
regressiondata.nz.pt1: Simulated data for Bayesian linear regression models, for use...
regressiondata.nz.pt2: Simulated data for Bayesian linear regression models, for use...

Functions

Files

NAMESPACE
data
data/regressiondata.nz.all.csv.gz
data/datalist
data/regressiondata.nz.pt1.csv.gz
data/regressiondata.nz.pt2.csv.gz
R
R/bayesregressB1S2.R
R/read.regress.data.ff.R
R/match.list.R
R/bayesregressB2S1.R
R/bayesregressB1S1.R
R/bayesregressB3S1.R
R/bayesregressB3S2.R
R/bayes.regress.R
R/bayesregressB2S2.R
MD5
DESCRIPTION
man
man/regressiondata.nz.pt2.Rd
man/read.regress.data.ff.Rd
man/regressiondata.nz.pt1.Rd
man/regressiondata.nz.all.Rd
man/bayes.regress.Rd
BayesSummaryStatLM documentation built on May 19, 2017, 7:01 p.m.

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