mrregression:Regression Analysis for Very Large Data Sets via Merge and
Reduce
Frequentist and Bayesian linear regression for large data sets. Useful when the data does not fit into memory (for both
frequentist and Bayesian regression), to make running time
manageable (mainly for Bayesian regression), and to reduce the
total running time because of reduced or less severe
memory-spillover into the virtual memory. This is an
implementation of Merge & Reduce for linear regression as
described in Geppert, L.N., Ickstadt, K., Munteanu, A., &
Sohler, C. (2020). 'Streaming statistical models via Merge &
Reduce'. International Journal of Data Science and Analytics,
1-17, <doi:10.1007/s41060-020-00226-0>.
