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, etc.

Version: 3.1
Depends: R (≥ 3.4.0), car, lpSolveAPI
Published: 2019-11-16
Author: Dong-Joon Lim, PhD
Maintainer: Dong-Joon Lim <tgno3.com at gmail.com>
License: GPL-2
NeedsCompilation: no
Materials: NEWS
CRAN checks: DJL results

Downloads:

Reference manual: DJL.pdf
Package source: DJL_3.1.tar.gz
Windows binaries: r-devel: DJL_3.1.zip, r-devel-gcc8: DJL_3.1.zip, r-release: DJL_3.1.zip, r-oldrel: DJL_3.1.zip
OS X binaries: r-release: DJL_3.1.tgz, r-oldrel: DJL_3.1.tgz
Old sources: DJL archive

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