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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.