drglm: Fitting Linear and Generalized Linear Models in "Divide and Recombine" Approach to Large Data Sets

To overcome the memory limitations for fitting linear (LM) and Generalized Linear Models (GLMs) to large data sets, this package implements the Divide and Recombine (D&R) strategy. It basically divides the entire large data set into suitable subsets manageable in size and then fits model to each subset. Finally, results from each subset are aggregated to obtain the final estimate. This package also supports fitting GLMs to data sets that cannot fit into memory and provides methods for fitting GLMs under linear regression, binomial regression, Poisson regression, and multinomial logistic regression settings. Respective models are fitted using different D&R strategies as described by: Xi, Lin, and Chen (2009) <doi:10.1109/TKDE.2008.186>, Xi, Lin and Chen (2006) <doi:10.1109/TKDE.2006.196>, Zuo and Li (2018) <doi:10.4236/ojs.2018.81003>, Karim, M.R., Islam, M.A. (2019) <doi:10.1007/978-981-13-9776-9>.

Version:	1.1
Depends:	R (≥ 3.5.0)
Imports:	nnet, speedglm, stats
Suggests:	knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2024-07-30
DOI:	10.32614/CRAN.package.drglm
Author:	Md. Mahadi Hassan Nayem [aut, cre]
Maintainer:	Md. Mahadi Hassan Nayem <mhnayem.cu.stat at outlook.com>
License:	GPL (≥ 3)
URL:	https://nayemmh.github.io/drglm/
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	drglm results

Documentation:

Reference manual:	drglm.pdf
Vignettes:	Fitting GLMs to Out of the Memory Data Sets (source, R code) Introduction to Package drglm (source, R code) drglm_multinom (source, R code)

Downloads:

Package source:	drglm_1.1.tar.gz
Windows binaries:	r-devel: drglm_1.1.zip, r-release: drglm_1.1.zip, r-oldrel: drglm_1.1.zip
macOS binaries:	r-release (arm64): drglm_1.1.tgz, r-oldrel (arm64): drglm_1.1.tgz, r-release (x86_64): drglm_1.1.tgz, r-oldrel (x86_64): drglm_1.1.tgz
Old sources:	drglm archive

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