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.
| Version: |
3.8 |
| Depends: |
R (≥ 3.4.0), car, lpSolveAPI |
| Published: |
2022-03-16 |
| Author: |
Dong-Joon Lim, Ph.D. <technometrics.org> |
| Maintainer: |
Dong-Joon Lim <tgno3.com at gmail.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| Materials: |
NEWS |
| CRAN checks: |
DJL results |
Documentation:
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