Package: mrregression 1.0.0

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>.

Authors:Esther Denecke [aut], Leo N. Geppert [aut, cre], Steffen Maletz [ctb], R Core Team [ctb]

mrregression_1.0.0.tar.gz
mrregression_1.0.0.zip(r-4.5)mrregression_1.0.0.zip(r-4.4)mrregression_1.0.0.zip(r-4.3)
mrregression_1.0.0.tgz(r-4.4-any)mrregression_1.0.0.tgz(r-4.3-any)
mrregression_1.0.0.tar.gz(r-4.5-noble)mrregression_1.0.0.tar.gz(r-4.4-noble)
mrregression_1.0.0.tgz(r-4.4-emscripten)mrregression_1.0.0.tgz(r-4.3-emscripten)
mrregression.pdf |mrregression.html
mrregression/json (API)

# Install 'mrregression' in R:
install.packages('mrregression', repos = c('https://lgstat.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 166 downloads 2 exports 2 dependencies

Last updated 4 years agofrom:be37e69f6a. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winNOTENov 01 2024
R-4.4-macNOTENov 01 2024
R-4.3-winNOTENov 01 2024
R-4.3-macNOTENov 01 2024

Exports:mrbayesmrfrequentist

Dependencies:data.tableRcpp

Readme and manuals

Help Manual

Help pageTopics
Simulated Example DataexampleData
Bayesian linear regression using Merge and Reducemrbayes
Fitting frequentist linear models using Merge and Reducemrfrequentist
mrregression: Frequentist and Bayesian linear regression using Merge and Reduce.coef.mrfrequentist mrregression nobs.mrbayes nobs.mrfrequentist predict.mrfrequentist print.summary.mrbayes print.summary.mrfrequentist summary.mrbayes summary.mrfrequentist