DJL
Distance Measure Based Judgment and Learning
Implements various decision support tools related to the Econometrics & Technometrics. Subroutines include correlation reliability test, Mahalanobis distance measure for outlier detection, combinatorial search (all possible subset regression), non-parametric efficiency analysis measures: DDF (directional distance function), DEA (data envelopment analysis), HDF (hyperbolic distance function), SBM (slack-based measure), and SF (shortage function), benchmarking, Malmquist productivity analysis, risk analysis, technology adoption model, new product target setting, network DEA, dynamic DEA, intertemporal budgeting, etc.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.9 |
rolling linux/jammy R-4.5 | DJL_3.9.tar.gz |
324.3 KiB |
3.9 |
rolling linux/noble R-4.5 | DJL_3.9.tar.gz |
324.3 KiB |
3.9 |
rolling source/ R- | DJL_3.9.tar.gz |
59.6 KiB |
3.9 |
latest linux/jammy R-4.5 | DJL_3.9.tar.gz |
324.3 KiB |
3.9 |
latest linux/noble R-4.5 | DJL_3.9.tar.gz |
324.3 KiB |
3.9 |
latest source/ R- | DJL_3.9.tar.gz |
59.6 KiB |
3.9 |
2026-04-26 source/ R- | DJL_3.9.tar.gz |
59.6 KiB |
3.9 |
2026-04-23 source/ R- | DJL_3.9.tar.gz |
59.6 KiB |
3.9 |
2026-04-09 windows/windows R-4.5 | DJL_3.9.zip |
327.5 KiB |
3.9 |
2025-04-20 source/ R- | DJL_3.9.tar.gz |
59.6 KiB |