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 + file LICENSE
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 form https://CRAN.R-project.org/package=gooseR to link to this page.