mergen: AI-Driven Code Generation, Explanation and Execution for Data Analysis (original) (raw)
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 |
| BugReports: | https://github.com/BIMSBbioinfo/mergen/issues |
| License: | MIT + file |
| 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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