Package: mLLMCelltype
Type: Package
Title: Cell Type Annotation Using Large Language Models
Version: 2.0.5
Author: Chen Yang [aut, cre, cph]
Maintainer: Chen Yang <cafferychen777@tamu.edu>
Authors@R: 
    person("Chen", "Yang", email = "cafferychen777@tamu.edu",
           role = c("aut", "cre", "cph"))
Description: Automated cell type annotation for single-cell RNA sequencing data 
    using consensus predictions from multiple large language models. Integrates 
    with Seurat objects and provides uncertainty quantification for annotations.
    Supports various LLM providers including OpenAI, Anthropic, and Google.
    For details see Yang et al. (2025) <doi:10.1101/2025.04.10.647852>.
License: MIT + file LICENSE
BugReports: https://github.com/cafferychen777/mLLMCelltype/issues
URL: https://cafferyang.com/mLLMCelltype/
Encoding: UTF-8
Imports: dplyr, httr (>= 1.4.0), jsonlite (>= 1.7.0), R6 (>= 2.5.0),
        digest (>= 0.6.25), magrittr, stats, tools, utils
Suggests: knitr, rmarkdown, Seurat, testthat
RoxygenNote: 7.3.3
Config/build/clean-inst-doc: TRUE
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-05-11 07:16:41 UTC; apple
Repository: CRAN
Date/Publication: 2026-05-11 07:30:07 UTC
Built: R 4.5.2; ; 2026-05-11 11:12:22 UTC; unix
