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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>.
| Version: | 1.0.0 |
| 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) |
| Published: | 2021-06-23 |
| Author: | Thomas Lumley [aut, cph], Shangqing Cao [ctb, cre] |
| Maintainer: | Shangqing Cao <caoalbert at g.ucla.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | dbglm results |
| Reference manual: | dbglm.pdf |
| Package source: | dbglm_1.0.0.tar.gz |
| Windows binaries: | r-devel: dbglm_1.0.0.zip, r-release: dbglm_1.0.0.zip, r-oldrel: dbglm_1.0.0.zip |
| macOS binaries: | r-release (arm64): dbglm_1.0.0.tgz, r-oldrel (arm64): dbglm_1.0.0.tgz, r-release (x86_64): dbglm_1.0.0.tgz, r-oldrel (x86_64): dbglm_1.0.0.tgz |
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