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dbglm

Generalised Linear Models by Subsampling and One-Step Polishing

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>.

Versions across snapshots

VersionRepositoryFileSize
1.0.0 rolling linux/jammy R-4.5 dbglm_1.0.0.tar.gz 74.1 KiB
1.0.0 rolling linux/noble R-4.5 dbglm_1.0.0.tar.gz 74.0 KiB
1.0.0 rolling source/ R- dbglm_1.0.0.tar.gz 43.5 KiB
1.0.0 latest linux/jammy R-4.5 dbglm_1.0.0.tar.gz 74.1 KiB
1.0.0 latest linux/noble R-4.5 dbglm_1.0.0.tar.gz 74.0 KiB
1.0.0 latest source/ R- dbglm_1.0.0.tar.gz 43.5 KiB
1.0.0 2026-04-26 source/ R- dbglm_1.0.0.tar.gz 43.5 KiB
1.0.0 2026-04-23 source/ R- dbglm_1.0.0.tar.gz 43.5 KiB
1.0.0 2026-04-09 windows/windows R-4.5 dbglm_1.0.0.zip 76.9 KiB
1.0.0 2025-04-20 source/ R- dbglm_1.0.0.tar.gz 43.5 KiB

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