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mrregression  

Regression Analysis for Very Large Data Sets via Merge and Reduce
View on CRAN: Click here


Download and install mrregression package within the R console
Install from CRAN:
install.packages("mrregression")

Install from Github:
library("remotes")
install_github("cran/mrregression")

Install by package version:
library("remotes")
install_version("mrregression", "1.0.0")



Attach the package and use:
library("mrregression")
Maintained by
Leo N. Geppert
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-22
Latest Update: 2020-09-22
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, .
How to cite:
Leo N. Geppert (2020). mrregression: Regression Analysis for Very Large Data Sets via Merge and Reduce. R package version 1.0.0, https://cran.r-project.org/web/packages/mrregression
Previous versions and publish date:
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Other R packages that mrregression depends, imports, suggests or enhances
Functions, R codes and Examples using the mrregression R package
Some associated functions: exampleData . mrbayes . mrfrequentist . mrregression . 
Some associated R codes: errorWarningMessages.R . exampleData.R . helpFunctions.R . makeTestData.R . mergeModels.R . methods.R . modelsStan.R . mrbayes.R . mrfrequentist.R . mrregression.R .  Full mrregression package functions and examples
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