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.


Reference manual

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install.packages("DJL")

3.9 by Dong-Joon Lim, 4 years ago


Browse source code at https://github.com/cran/DJL


Authors: Dong-Joon Lim , Ph.D. <technometrics.org>


Documentation:   PDF Manual  


GPL-2 license


Depends on car, lpSolveAPI


Suggested by DEA.


See at CRAN