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 |
Documentation:
Downloads:
Reverse dependencies:
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