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Fitting Linear and Generalized Linear Models in "Divide and Recombine" approach in R

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drglm

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The package ‘drglm’ can be used to fit Linear and Generalized Linear Models to large as well as out of the memory data sets using “Divide and Recombine (D&R)” strategy. This is the first package in R that supports fitting Multinomial logistic regression models to large data sets in D&R method.

Installation

You can install the development version of drglm from GitHub with:

# install.packages("devtools")
devtools::install_github("NayemMH/drglm")

Example

For practical examples and coding, users are refereed to check the vignettes of the ‘drglm’ paper for better understandings.

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Fitting Linear and Generalized Linear Models in "Divide and Recombine" approach in R

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