DJL: Distance Measure Based Judgment and Learning

Implements various decision support tools related to the new product development. 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, risk analysis, technology adoption model, new product target setting, etc.

Version: 2.6
Depends: R (≥ 3.2.2), car, lpSolveAPI
Published: 2016-09-28
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_2.6.tar.gz
Windows binaries: r-devel: DJL_2.6.zip, r-release: DJL_2.6.zip, r-oldrel: DJL_2.6.zip
OS X Mavericks binaries: r-release: DJL_2.6.tgz, r-oldrel: DJL_2.6.tgz
Old sources: DJL archive

Linking:

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