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dbglm  

Generalised Linear Models by Subsampling and One-Step Polishing
View on CRAN: Click here


Download and install dbglm package within the R console
Install from CRAN:
install.packages("dbglm")

Install from Github:
library("remotes")
install_github("cran/dbglm")

Install by package version:
library("remotes")
install_version("dbglm", "1.0.0")



Attach the package and use:
library("dbglm")
Maintained by
Shangqing Cao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-23
Latest Update: 2021-06-23
Description:
Fast fitting of generalised linear models on moderately large datasets, by taking an initial sample, fitting in memory, then evaluating the score function for the full data in the database. Thomas Lumley .
How to cite:
Shangqing Cao (2021). dbglm: Generalised Linear Models by Subsampling and One-Step Polishing. R package version 1.0.0, https://cran.r-project.org/web/packages/dbglm. Accessed 15 Jul. 2026.
Previous versions and publish date:
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Complete documentation for dbglm
Functions, R codes and Examples using the dbglm R package
Some associated functions: dbglm . fleet1 . 
Some associated R codes: dbglm.R . fleet1.R .  Full dbglm package functions and examples
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