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:
mrregression_1.0.0.tar.gz
mrregression_1.0.0.zip(r-4.7)mrregression_1.0.0.zip(r-4.6)mrregression_1.0.0.zip(r-4.5)
mrregression_1.0.0.tgz(r-4.6-any)mrregression_1.0.0.tgz(r-4.5-any)
mrregression_1.0.0.tar.gz(r-4.7-any)mrregression_1.0.0.tar.gz(r-4.6-any)
mrregression_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mrregression/json (API)
| # Install 'mrregression' in R: |
| install.packages('mrregression', repos = c('https://lgstat.r-universe.dev', 'https://cloud.r-project.org')) |
- exampleData - Simulated Example Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:be37e69f6a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 140 | ||
| source / vignettes | OK | 153 | ||
| linux-release-x86_64 | OK | 139 | ||
| macos-release-arm64 | OK | 160 | ||
| macos-oldrel-arm64 | OK | 136 | ||
| windows-devel | OK | 104 | ||
| windows-release | OK | 112 | ||
| windows-oldrel | OK | 104 | ||
| wasm-release | OK | 113 |
Exports:mrbayesmrfrequentist
Dependencies:data.tableRcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Simulated Example Data | exampleData |
| Bayesian linear regression using Merge and Reduce | mrbayes |
| Fitting frequentist linear models using Merge and Reduce | mrfrequentist |
| 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 |
