Package: dbglm 1.0.0

Shangqing Cao

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>.

Authors:Thomas Lumley [aut, cph], Shangqing Cao [ctb, cre]

dbglm_1.0.0.tar.gz
dbglm_1.0.0.tar.gz(r-4.5-noble)dbglm_1.0.0.tar.gz(r-4.4-noble)
dbglm_1.0.0.tgz(r-4.4-emscripten)dbglm_1.0.0.tgz(r-4.3-emscripten)
dbglm.pdf |dbglm.html✨
dbglm/json (API)

# Install 'dbglm' in R:
install.packages('dbglm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • fleet1 - Data of vehicles registered in New Zealand as of November 2017

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 244 downloads 1 exports 107 dependencies

Last updated 4 years agofrom:7e31208449. Checks:1 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-linuxNOTEMar 09 2025
R-4.4-linuxNOTEMar 09 2025

Exports:dbglm

Dependencies:askpassbackportsbase64encbitbit64blobbroombslibcachemcallrcellrangerclicliprcolorspaceconflictedcpp11crayoncurldata.tableDBIdbplyrdigestdplyrdtplyrevaluatefansifarverfastmapfontawesomeforcatsfsgarglegenericsggplot2gluegoogledrivegooglesheets4gtablehavenhighrhmshtmltoolshttridsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelubridatemagrittrMASSMatrixmemoisemgcvmimemodelrmunsellnlmeopensslpillarpkgconfigprettyunitsprocessxprogresspspurrrR6raggrappdirsRColorBrewerreadrreadxlrematchrematch2reprexrlangrmarkdownrstudioapirvestsassscalesselectrstringistringrsyssystemfontstextshapingtibbletidypredicttidyrtidyselecttidyversetimechangetinytextzdbutf8uuidvctrsviridisLitevroomwithrxfunxml2yaml