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>

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DJL.pdf |DJL.html✨
DJL/json (API)
NEWS

# 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.

24 exports 1 stars 0.09 score 60 dependencies 83 scripts 555 downloads

Last updated 2 years agofrom:057a53eac2. Checks:OK: 3 NOTE: 4. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Aug 20 2024
R-4.5-win	NOTE	Aug 20 2024
R-4.5-linux	NOTE	Aug 20 2024
R-4.4-win	NOTE	Aug 20 2024
R-4.4-mac	NOTE	Aug 20 2024
R-4.3-win	OK	Aug 20 2024
R-4.3-mac	OK	Aug 20 2024

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 fansi farver generics ggplot2 glue gtable isoband labeling lattice lifecycle lme4 lpSolveAPI magrittr MASS Matrix MatrixModels mgcv microbenchmark minqa modelr munsell nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig purrr quantreg R6 RColorBrewer Rcpp RcppEigen rlang scales SparseM stringi stringr survival tibble tidyr tidyselect utf8 vctrs viridisLite withr

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)