https://github.com/cran/DJL
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Tip revision: 4878659e1c30e3852324b17d4053de669aee7e07 authored by Dong-Joon Lim on 07 January 2020, 20:10:03 UTC
version 3.2
Tip revision: 4878659
DESCRIPTION
Package: DJL
Type: Package
Title: Distance Measure Based Judgment and Learning
Version: 3.2
Date: 2019-12-24
Author: Dong-Joon Lim, PhD
Depends: R (>= 3.4.0), car, lpSolveAPI
Maintainer: Dong-Joon Lim <tgno3.com@gmail.com>
Description: 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.
License: GPL-2
LazyData: true
NeedsCompilation: no
Packaged: 2019-12-23 09:16:02 UTC; Dong-Joon Lim
Repository: CRAN
Date/Publication: 2020-01-07 21:10:03 UTC
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