Distance Measure Based Judgment and Learning
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Documentation for package ‘DJL’ version 3.9
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| 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. |
| dm.ddf | Distance measure using DDF |
| dm.dea | Distance measure using DEA |
| dm.dynamic.bc | Dynamic DEA in the presence of intertemporal Budget Constraints |
| dm.hdf | Distance measure using HDF |
| dm.mahalanobis | Distance measure using Mahalanobis distance for outlier detection |
| dm.network.dea | Distance measure using DEA on a two-stage network structure |
| dm.sbm | Distance measure using SBM |
| dm.sf | Distance measure using SF |
| ma.aps.reg | Combinatorial search (all possible subset) for regression analysis |
| map.corr | Correlation mapping for reliability test |
| map.soa.ddf | SOA mapping using DDF |
| map.soa.dea | SOA mapping using DEA |
| map.soa.hdf | SOA mapping using HDF |
| map.soa.sbm | SOA mapping using SBM |
| map.soa.sf | SOA mapping using SF |
| plp | Print LP object |
| roc.dea | Rate of change (RoC) calculation using DEA |
| roc.hdf | Rate of change (RoC) calculation using HDF |
| roc.malmquist | Malmquist Index: time-series productivity analysis |
| roc.sf | Rate of change (RoC) calculation using SF |
| target.arrival.dea | Arrival target setting using DEA |
| target.arrival.hdf | Arrival target setting using HDF |
| target.arrival.sf | Arrival target setting using SF |
| target.spec.dea | Spec target setting using DEA |