DJL: Distance Measure Based Judgment and Learning

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.

AuthorDong-Joon Lim, PhD
Date of publication2016-09-28 08:34:03
MaintainerDong-Joon Lim <tgno3.com@gmail.com>
LicenseGPL-2
Version2.6

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.