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.zip(r-4.7-any)dbglm_1.0.0.zip(r-4.6-any)
dbglm_1.0.0.tar.gz(r-4.7-any)dbglm_1.0.0.tar.gz(r-4.6-any)
dbglm_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 5 scripts 327 downloads 1 exports 101 dependencies

Last updated from:7e31208449. Checks:4 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE193
source / vignettesOK199
linux-releaseNOTE133
windows-develNOTE74
windows-releaseNOTE85
wasm-releaseOK158

Exports:dbglm

Dependencies:askpassbackportsbase64encbitbit64blobbroombslibcachemcallrcellrangerclicliprconflictedcpp11crayoncurldata.tableDBIdbplyrdigestdplyrdtplyrevaluatefarverfastmapfontawesomeforcatsfsgarglegenericsggplot2gluegoogledrivegooglesheets4gtablehavenhighrhmshtmltoolshttridsisobandjquerylibjsonliteknitrlabelinglifecyclelubridatemagrittrmemoisemimemodelropensslotelpillarpkgconfigprettyunitsprocessxprogresspspurrrR6raggrappdirsRColorBrewerreadrreadxlrematchrematch2reprexrlangrmarkdownrstudioapirvestS7sassscalesselectrstringistringrsyssystemfontstextshapingtibbletidypredicttidyrtidyselecttidyversetimechangetinytextzdbutf8uuidvctrsviridisLitevroomwithrxfunxml2yaml