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:
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')) |
- 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.
Last updated 3 years agofrom:7e31208449. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 10 2024 |
| R-4.5-linux | NOTE | Sep 10 2024 |
Exports:dbglm
Dependencies:askpassbackportsbase64encbitbit64blobbroombslibcachemcallrcellrangerclicliprcolorspaceconflictedcpp11crayoncurldata.tableDBIdbplyrdigestdplyrdtplyrevaluatefansifarverfastmapfontawesomeforcatsfsgarglegenericsggplot2gluegoogledrivegooglesheets4gtablehavenhighrhmshtmltoolshttridsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelubridatemagrittrMASSMatrixmemoisemgcvmimemodelrmunsellnlmeopensslpillarpkgconfigprettyunitsprocessxprogresspspurrrR6raggrappdirsRColorBrewerreadrreadxlrematchrematch2reprexrlangrmarkdownrstudioapirvestsassscalesselectrstringistringrsyssystemfontstextshapingtibbletidypredicttidyrtidyselecttidyversetimechangetinytextzdbutf8uuidvctrsviridisLitevroomwithrxfunxml2yaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fast generalized linear model in a database | dbglm dbsample |
| Data of vehicles registered in New Zealand as of November 2017 | fleet1 |