Packaged: 2018-04-17 15:08:57 UTC; Dong-Joon Lim

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, etc.
Packaged: 2018-12-09 13:55:59 UTC; Dong-Joon Lim

Packaged: 2019-02-07 13:11:16 UTC; Dong-Joon Lim

Packaged: 2019-03-05 13:06:12 UTC; Dong-Joon Lim

Packaged: 2019-02-04 19:09:35 UTC; Dong-Joon Lim

Packaged: 2019-04-30 12:11:01 UTC; Dong-Joon Lim

Packaged: 2019-11-16 16:49:36 UTC; Dong-Joon Lim

Packaged: 2019-12-23 09:16:02 UTC; Dong-Joon Lim

Packaged: 2020-04-29 14:46:58 UTC; Dong-Joon Lim

Author: Dong-Joon Lim, Ph.D. <technometrics.org>
Packaged: 2020-05-06 02:26:47 UTC; Dong-Joon Lim

Packaged: 2020-09-12 15:38:51 UTC; Dong-Joon Lim

Packaged: 2020-09-14 23:50:40 UTC; Dong-Joon Lim

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.

Title: Implementation of Differentiable Lasso Penalty in Linear Models
Author: Hamed Haseli Mashhadi <hamedhaseli@gmail.com>
Maintainer: Hamed Haseli Mashhadi <hamedhaseli@gmail.com>
Description: An implementation of the differentiable lasso (dlasso) using iterative ridge algorithm. This package allows selecting the tuning parameter by AIC, BIC and GCV.