DJL: Distance Measure Based Judgment and Learning

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.

Getting started

Package details

AuthorDong-Joon Lim, Ph.D. <technometrics.org>
MaintainerDong-Joon Lim <tgno3.com@gmail.com>
LicenseGPL-2
Version3.7
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("DJL")

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DJL documentation built on May 20, 2021, 5:06 p.m.