https://github.com/cran/DJL
Raw File
Tip revision: dc098abc72890464a84dc07accfd5582539c89ce authored by Dong-Joon Lim on 29 April 2020, 14:40:03 UTC
version 3.3
Tip revision: dc098ab
DESCRIPTION
Package: DJL
Type: Package
Title: Distance Measure Based Judgment and Learning
Version: 3.3
Date: 2020-05-01
Author: Dong-Joon Lim, Ph.D. (2016) <DOI: 10.1016/j.ejor.2016.03.059>
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: 2020-04-29 14:46:58 UTC; Dong-Joon Lim
Repository: CRAN
Date/Publication: 2020-04-29 15:40:03 UTC
back to top