mergen: AI-Driven Code Generation, Explanation and Execution for Data
Analysis
Employing artificial intelligence to convert data analysis questions into executable code, explanations, and algorithms. The self-correction feature ensures the generated code is optimized for performance and accuracy. 'mergen' features a user-friendly chat interface, enabling users to interact with the AI agent and extract valuable insights from their data effortlessly.
| Version: | 0.2.1 | 
| Depends: | R (≥ 3.5.0) | 
| Imports: | openai, rmarkdown, BiocManager, assertthat (≥ 0.2.1), httr, jsonlite | 
| Suggests: | knitr, readxl, data.table (≥ 1.9.6), testthat (≥ 3.0.0), purrr (≥ 0.3.4) | 
| Published: | 2024-06-27 | 
| DOI: | 10.32614/CRAN.package.mergen | 
| Author: | Altuna Akalin  [aut, cre],
  Jacqueline Anne Jansen [aut] | 
| Maintainer: | Altuna Akalin  <aakalin at gmail.com> | 
| BugReports: | https://github.com/BIMSBbioinfo/mergen/issues | 
| License: | MIT + file LICENSE | 
| URL: | https://github.com/BIMSBbioinfo/mergen,
https://bioinformatics.mdc-berlin.de/mergen/ | 
| NeedsCompilation: | no | 
| Materials: | README, NEWS | 
| CRAN checks: | mergen results | 
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