Lisp-stat: Lisp environment for statistical computing
a year ago
- #Open Source
- #Lisp-Stat
- #Data Analysis
- Lisp-Stat is similar to R and suitable for exploratory data analysis and production deployments.
- Common Lisp is used at Google in high-availability, high-volume transactional systems.
- Requirements for the system included exploratory environment suitability, enterprise robustness, and open licensing.
- Common Lisp was the only framework meeting all requirements.
- Ross Ihaka's paper highlights Lisp's advantages over R and Python, advocating for Lisp as a replacement.
- Lisp-Stat supports vectorized math operations, statistical methods, dynamic programming (REPL), and object-oriented features (CLOS, MOP).
- Lisp-Stat is functional and in daily use, with libraries from XLISP-STAT and compatibility packages.
- Libraries include linear models, KNN, advanced statistics, temporal/spatial reasoning, and mathematical subroutines.
- Lisp-Stat is open source, welcoming contributions in code, documentation, and tutorials.
- Future improvements and community involvement are encouraged via GitHub.