Package: DJL 3.9

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.

Authors:Dong-Joon Lim, Ph.D. <technometrics.org>

DJL_3.9.tar.gz
DJL_3.9.zip(r-4.7-any)DJL_3.9.zip(r-4.6-any)DJL_3.9.zip(r-4.5-any)
DJL_3.9.tgz(r-4.6-any)DJL_3.9.tgz(r-4.5-any)
DJL_3.9.tar.gz(r-4.7-any)DJL_3.9.tar.gz(r-4.6-any)
DJL_3.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
DJL/json (API)

# Install 'DJL' in R:

install.packages('DJL', repos = c('https://tgno3.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

dataset.airplane.2017 - Dataset of commercial airplanes from 1965 to 2017.
dataset.engine.2015 - Dataset of auto engines from MY2005 to MY2015.
dataset.hev.2013 - Dataset of hybrid electric vehicles from MY1997 to MY2013.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.18 score 1 stars 150 scripts 506 downloads 24 exports 69 dependencies

Last updated from:057a53eac2. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	NOTE	126
source / vignettes	OK	180
linux-release	NOTE	124
macos-release	NOTE	171
macos-oldrel	NOTE	229
windows-devel	NOTE	94
windows-release	NOTE	117
windows-oldrel	NOTE	90
wasm-release	OK	92

Exports:dm.ddf dm.dea dm.dynamic.bc dm.hdf dm.mahalanobis dm.network.dea dm.sbm dm.sf ma.aps.reg map.corr map.soa.ddf map.soa.dea map.soa.hdf map.soa.sbm map.soa.sf plp roc.dea roc.hdf roc.malmquist roc.sf target.arrival.dea target.arrival.hdf target.arrival.sf target.spec.dea

Dependencies:abind backports boot broom car carData cli colorspace cowplot cpp11 Deriv doBy dplyr farver forecast Formula fracdiff generics ggplot2 glue gtable isoband labeling lattice lifecycle lme4 lmtest lpSolveAPI magrittr MASS Matrix MatrixModels mgcv minqa modelr nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang S7 scales SparseM stringi stringr survival tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr zoo

Help page	Topics
Dataset of commercial airplanes from 1965 to 2017.	dataset.airplane.2017
Dataset of auto engines from MY2005 to MY2015.	dataset.engine.2015
Dataset of hybrid electric vehicles from MY1997 to MY2013.	dataset.hev.2013
Distance measure using DDF	dm.ddf
Distance measure using DEA	dm.dea
Dynamic DEA in the presence of intertemporal Budget Constraints	dm.dynamic.bc
Distance measure using HDF	dm.hdf
Distance measure using Mahalanobis distance for outlier detection	dm.mahalanobis
Distance measure using DEA on a two-stage network structure	dm.network.dea
Distance measure using SBM	dm.sbm
Distance measure using SF	dm.sf
Combinatorial search (all possible subset) for regression analysis	ma.aps.reg
Correlation mapping for reliability test	map.corr
SOA mapping using DDF	map.soa.ddf
SOA mapping using DEA	map.soa.dea
SOA mapping using HDF	map.soa.hdf
SOA mapping using SBM	map.soa.sbm
SOA mapping using SF	map.soa.sf
Print LP object	plp
Rate of change (RoC) calculation using DEA	roc.dea
Rate of change (RoC) calculation using HDF	roc.hdf
Malmquist Index: time-series productivity analysis	roc.malmquist
Rate of change (RoC) calculation using SF	roc.sf
Arrival target setting using DEA	target.arrival.dea
Arrival target setting using HDF	target.arrival.hdf
Arrival target setting using SF	target.arrival.sf
Spec target setting using DEA	target.spec.dea

Package: DJL 3.9

DJL: Distance Measure Based Judgment and Learning

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)