Package: drglm
Type: Package
Title: Fitting Linear and Generalized Linear Models in "Divide and
        Recombine" Approach to Large Data Sets
Version: 1.1
Authors@R: 
    c(person(given = "Md. Mahadi Hassan", family = "Nayem", email = "mhnayem.cu.stat@outlook.com", role = c("aut", "cre")))
Maintainer: Md. Mahadi Hassan Nayem <mhnayem.cu.stat@outlook.com>
Depends: R (>= 3.5.0)
Imports: nnet, speedglm, stats
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Description: 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>.
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://nayemmh.github.io/drglm/
Repository: https://nayemmh.r-universe.dev
Date/Publication: 2024-07-30 18:54:58 UTC
RemoteUrl: https://github.com/nayemmh/drglm
RemoteRef: HEAD
RemoteSha: a665499772ddca43348644707f2d97217c9d6e1e
NeedsCompilation: no
Packaged: 2026-10-19 07:01:20 UTC; root
Author: Md. Mahadi Hassan Nayem [aut, cre]