https://github.com/cran/DJL
Raw File
Tip revision: b900992b7a26632c97c24b60de86fca040d5ae17 authored by Dong-Joon Lim on 09 December 2018, 13:30:03 UTC
version 2.8
Tip revision: b900992
DESCRIPTION
Package: DJL
Type: Package
Title: Distance Measure Based Judgment and Learning
Version: 2.8
Date: 2018-12-09
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: 2018-12-09 13:55:59 UTC; Dong-Joon Lim
Repository: CRAN
Date/Publication: 2018-12-09 14:30:03 UTC
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