This function reads in tabulated data sets and produces summary statistics needed for Bayesian linear regression models for use in the function bayes.regress() (in this package). Big data sets that are too large to fit into R memory are handled using functions from package ff. The function takes as input data files with the predictor variables X and response values Y, and returns the summary statistics X'X, X'Y and Y'Y that are used as an input to the function bayes.regress() (in this package) for Bayesian linear regression models. The function supports reading data sets that are split across multiple files.
bayes.regress
(Package: BayesSummaryStatLM) :
MCMC posterior sampling of Bayesian linear regression model parameters using only summary statistics
This function generates MCMC posterior samples of the Bayesian linear regression model parameters, using only summary statistics X'X, X'Y and Y'Y (e.g. calculated by the function read.regress.data.ff() in this package). The samples are generated according to the user specified choices of prior distributions, hyperprior distributions and fixed parameter values where required; the user also specifies starting values for unknown model parameters.
providing 
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