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'))

Peer review:

Datasets:
  • fleet1 - Data of vehicles registered in New Zealand as of November 2017

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

1.70 score 5 scripts 203 downloads 1 exports 107 dependencies

Last updated 3 years agofrom:7e31208449. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-linuxNOTENov 09 2024

Exports:dbglm

Dependencies:askpassbackportsbase64encbitbit64blobbroombslibcachemcallrcellrangerclicliprcolorspaceconflictedcpp11crayoncurldata.tableDBIdbplyrdigestdplyrdtplyrevaluatefansifarverfastmapfontawesomeforcatsfsgarglegenericsggplot2gluegoogledrivegooglesheets4gtablehavenhighrhmshtmltoolshttridsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelubridatemagrittrMASSMatrixmemoisemgcvmimemodelrmunsellnlmeopensslpillarpkgconfigprettyunitsprocessxprogresspspurrrR6raggrappdirsRColorBrewerreadrreadxlrematchrematch2reprexrlangrmarkdownrstudioapirvestsassscalesselectrstringistringrsyssystemfontstextshapingtibbletidypredicttidyrtidyselecttidyversetimechangetinytextzdbutf8uuidvctrsviridisLitevroomwithrxfunxml2yaml