DJL: Distance Measure Based Judgment and Learning
Version 2.7

Implements various decision support tools related to the new product development. 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, risk analysis, technology adoption model, new product target setting, etc.

Getting started

Package details

AuthorDong-Joon Lim, PhD
Date of publication2018-04-17 15:21:40 UTC
MaintainerDong-Joon Lim <[email protected]>
Package repositoryView on CRAN
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DJL documentation built on April 17, 2018, 5:04 p.m.