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mrregression
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]
[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. Accessed 21 Nov. 2024.
Previous versions and publish date:
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Complete documentation for mrregression
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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