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drglm

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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Version

Install

install.packages('drglm')

Monthly Downloads

157

Version

1.1

License

GPL (>= 3)

Maintainer

Md. Mahadi Hassan Nayem

Last Published

July 30th, 2024

Functions in drglm (1.1)

make.data

Reading Data File Larger than Memory for Fitting GLMs Using big.drglm Function
big.drglm

Fitting Linear and Generalized Linear Models to out of the memory data sets in "Divide and Recombine" approach
drglm.multinom

Fitting Multinomial Logistic Regression model in "Divide and Recombine" approach to Large Data Sets
drglm

Fitting Linear and Generalized Linear Model in "Divide and Recombine" approach to Large Data Sets