https://github.com/cran/DJL
Raw File
Tip revision: 30a0509b9d82a348b00424a0c55b8a9ea4e0352c authored by Dong-Joon Lim on 20 May 2021, 14:00:13 UTC
version 3.7
Tip revision: 30a0509
DESCRIPTION
Package: DJL
Type: Package
Title: Distance Measure Based Judgment and Learning
Version: 3.7
Date: 2021-05-20
Author: Dong-Joon Lim, Ph.D. <technometrics.org>
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, network DEA, dynamic DEA, intertemporal budgeting, etc.
License: GPL-2
LazyData: true
NeedsCompilation: no
Packaged: 2021-05-20 03:51:44 UTC; tgno3
Repository: CRAN
Date/Publication: 2021-05-20 15:00:13 UTC
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