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Transform complex statistical output into straightforward, understandable, and context-aware natural language descriptions using Large Language Models (LLMs), making complex analyses more accessible to individuals with varying statistical expertise. It relies on the 'ellmer' package to interface with LLM providers including OpenAI <https://openai.com/>, Google AI Studio <https://aistudio.google.com/>, and Anthropic <https://www.anthropic.com/> (API keys are required and managed via 'ellmer').
Version: | 0.1.0 |
Depends: | R (≥ 4.1.0) |
Suggests: | car, ellmer (≥ 0.2.0), ISLR2, knitr, lme4, lmerTest, MASS, mgcv, nlme, R6, rmarkdown, survival, tibble, tinytest |
Published: | 2025-06-02 |
DOI: | 10.32614/CRAN.package.statlingua |
Author: | Brandon M. Greenwell
|
Maintainer: | Brandon M. Greenwell <greenwell.brandon at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/bgreenwell/statlingua, https://bgreenwell.github.io/statlingua/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | statlingua results |
Reference manual: | statlingua.pdf |
Vignettes: |
The statlingua Package (source) |
Package source: | statlingua_0.1.0.tar.gz |
Windows binaries: | r-devel: statlingua_0.1.0.zip, r-release: statlingua_0.1.0.zip, r-oldrel: statlingua_0.1.0.zip |
macOS binaries: | r-release (arm64): statlingua_0.1.0.tgz, r-oldrel (arm64): statlingua_0.1.0.tgz, r-release (x86_64): statlingua_0.1.0.tgz, r-oldrel (x86_64): statlingua_0.1.0.tgz |
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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.