Package: mrregression
Type: Package
Title: Regression Analysis for Very Large Data Sets via Merge and
        Reduce
Version: 1.0.0
Author: Esther Denecke [aut], Leo N. Geppert [aut, cre], Steffen Maletz
        [ctb], R Core Team [ctb]
Maintainer: Leo N. Geppert <geppert@statistik.uni-dortmund.de>
Description: 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>.
Depends: R (>= 4.0.0), Rcpp (>= 1.0.5),
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Suggests: testthat (>= 2.3.2),
Imports: data.table (>= 1.12.8),
Enhances: rstan (>= 2.19.3),
NeedsCompilation: no
Packaged: 2026-07-03 08:47:19 UTC; root
Repository: https://lgstat.r-universe.dev
Date/Publication: 2020-09-22 07:20:02 UTC
RemoteUrl: https://github.com/cran/mrregression
RemoteRef: HEAD
RemoteSha: be37e69f6acf2ab37acd6fd4d81de437c4fca8c1