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:
DJL_3.9.tar.gz
DJL_3.9.zip(r-4.5)DJL_3.9.zip(r-4.4)DJL_3.9.zip(r-4.3)
DJL_3.9.tgz(r-4.4-any)DJL_3.9.tgz(r-4.3-any)
DJL_3.9.tar.gz(r-4.5-noble)DJL_3.9.tar.gz(r-4.4-noble)
DJL_3.9.tgz(r-4.4-emscripten)DJL_3.9.tgz(r-4.3-emscripten)
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')) |
- 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.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:057a53eac2. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-win | NOTE | Nov 23 2024 |
| R-4.5-linux | NOTE | Nov 23 2024 |
| R-4.4-win | NOTE | Nov 23 2024 |
| R-4.4-mac | NOTE | Nov 23 2024 |
| R-4.3-win | OK | Nov 23 2024 |
| R-4.3-mac | OK | Nov 23 2024 |
Exports:dm.ddfdm.deadm.dynamic.bcdm.hdfdm.mahalanobisdm.network.deadm.sbmdm.sfma.aps.regmap.corrmap.soa.ddfmap.soa.deamap.soa.hdfmap.soa.sbmmap.soa.sfplproc.dearoc.hdfroc.malmquistroc.sftarget.arrival.deatarget.arrival.hdftarget.arrival.sftarget.spec.dea
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lpSolveAPImagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
