Package: statlingo
Type: Package
Title: Explain Statistical Output with Large Language Models
Version: 0.1.0
Authors@R: person(c("Brandon", "M."), family = "Greenwell", 
    email = "greenwell.brandon@gmail.com", role = c("aut", "cre"), 
    comment = c(ORCID = "0000-0002-8120-0084"))
Description: 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').
Depends: R (>= 4.1.0)
License: GPL (>= 2)
URL: https://github.com/bgreenwell/statlingo,
        https://bgreenwell.github.io/statlingo/
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Imports: ellmer (>= 0.4.1), tools, yaml
Suggests: car, gargle, ISLR2, knitr, lme4, lmerTest, MASS, mgcv, nlme,
        R6, rmarkdown, survival, tibble, tinytest
VignetteBuilder: knitr
Config/Needs/website: rmarkdown
Config/pak/sysreqs: libssl-dev
Repository: https://bgreenwell.r-universe.dev
Date/Publication: 2026-07-07 02:28:47 UTC
RemoteUrl: https://github.com/bgreenwell/statlingo
RemoteRef: main
RemoteSha: 9debd8e6d2e293a2901c20cabe380344a5411b6d
RemoteSubdir: r
NeedsCompilation: no
Packaged: 2026-07-07 04:53:26 UTC; root
Author: Brandon M. Greenwell [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-8120-0084>)
Maintainer: Brandon M. Greenwell <greenwell.brandon@gmail.com>