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rapidcodeR: Optimized Data Analysis System for AI-Based Text Processing

Extracts machine-readable variables from natural language text using AI APIs. Optimized for speed and cost efficiency through parallel processing and direct CSV-formatted responses from language models. Supports multiple AI providers with robust error handling and automatic retry mechanisms for failed extractions.

Version: 0.1.0
Imports: stringr, openai, groqR, dplyr, rlang, parallel, future, future.apply
Suggests: testthat (≥ 3.0.0), irr
Published: 2026-03-10
DOI: 10.32614/CRAN.package.rapidcodeR (may not be active yet)
Author: Gabriel Lönn [aut, cre], Sebastian Schutte [ctb] (Original code and package idea provided by.)
Maintainer: Gabriel Lönn <gablon at prio.org>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: rapidcodeR results

Documentation:

Reference manual: rapidcodeR.html , rapidcodeR.pdf

Downloads:

Package source: rapidcodeR_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): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rapidcodeR 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.
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