Movatterモバイル変換


[0]ホーム

URL:


gooseR: R Integration for 'Goose' AI

Seamless integration between R and 'Goose' AI capabilities including memory management, visualization enhancements, and workflow automation. Save R objects to 'Goose' memory, apply Block branding to visualizations, and manage data science project workflows. For more information about 'Goose' AI, see <https://github.com/block/goose>.

Version:0.1.0
Imports:cli,fs,here,jsonlite,magrittr,purrr,ggplot2,yaml, grDevices,systemfonts,processx,DBI,digest,future,future.apply,promises,glue,R6,rappdirs,later,shiny,miniUI,rstudioapi,knitr
Suggests:rmarkdown,testthat (≥ 3.0.0),dplyr,markdown,stringr,htmltools,DT,RSQLite,clipr,janitor
Published:2025-12-17
DOI:10.32614/CRAN.package.gooseR (may not be active yet)
Author:Brandon Theriault [aut, cre]
Maintainer:Brandon Theriault <btheriault at block.xyz>
License:MIT + fileLICENSE
NeedsCompilation:no
Citation:gooseR citation info
Materials:README,NEWS
CRAN checks:gooseR results

Documentation:

Reference manual:gooseR.html ,gooseR.pdf
Vignettes:Code Review and Testing with gooseR (source,R code)
Getting Started with gooseR (source,R code)
gooseR: R + Goose AI Integration (source,R code)
Memory Management and Workflow Tools (source,R code)
Survey Data Analysis with gooseR (source,R code)
gooseR Use-Case Demo (source,R code)

Downloads:

Package source: gooseR_0.1.0.tar.gz
Windows binaries: r-devel:not available, r-release:not available, r-oldrel:not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64):gooseR_0.1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=gooseRto link to this page.


[8]ページ先頭

©2009-2025 Movatter.jp