Generalised Linear Models by Subsampling and One-Step Polishing R package dbglm version 1.0.0 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 <doi:10.1080/10618600.2019.1610312>. Software Depends: R (>= 2.10) Imports: DBI, tidypredict, rlang, methods, tidyverse, dbplyr, vctrs, knitr, dplyr, purrr, tibble, tidyr, stringr Suggests: RSQLite, duckdb, bigrquery, testthat (>= 3.0.0) Shangqing Cao <caoalbert@g.ucla.edu> Comprehensive R Archive Network (CRAN) Thomas Lumley [aut, cph], Shangqing Cao [ctb, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=dbglm/LICENSE) 2021-06-23 application/tgz https://CRAN.R-project.org/package=dbglm doi:10.32614/CRAN.package.dbglm