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, etc.

Getting started

Package details

AuthorDong-Joon Lim, PhD
MaintainerDong-Joon Lim <[email protected]>
Package repositoryView on CRAN
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DJL documentation built on Dec. 9, 2018, 5:04 p.m.