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: rapidcodeR_0.1.0.zip, r-oldrel: rapidcodeR_0.1.0.zip
macOS binaries:	r-release (arm64): rapidcodeR_0.1.0.tgz, r-oldrel (arm64): rapidcodeR_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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