alpha | Alpha Calculation for Pruning Procedure of Efficiency... |
bagging | Bagging data |
barplot_importance | Barplot Variable Importance |
bestEAT | Tuning an Efficiency Analysis Trees model |
bestRFEAT | Tuning a Random Forest + Efficiency Analysis Trees model |
CEAT_BCC_in | Banker, Charnes and Cooper programming model with input... |
CEAT_BCC_out | Banker, Charnes and Cooper programming model with output... |
CEAT_DDF | Directional Distance Function mathematical programming model... |
CEAT_RSL_in | Russell Model with input orientation for a Convexified... |
CEAT_RSL_out | Russell Model with output orientation for a Convexified... |
CEAT_WAM | Weighted Additive Model for a Convexified Efficiency Analysis... |
checkEAT | Check Efficiency Analysis Trees. |
comparePareto | Pareto-dominance relationships |
deepEAT | Deep Efficiency Analysis Trees |
EAT | Efficiency Analysis Trees |
EAT_BCC_in | Banker, Charnes and Cooper Programming Model with Input... |
EAT_BCC_out | Banker, Charnes and Cooper Programming Model with Output... |
EAT_DDF | Directional Distance Function Programming Model for an... |
EAT_frontier_levels | Output Levels in an Efficiency Analysis Trees model |
EAT_leaf_stats | Descriptive Summary Statistics Table for the Leaf Nodes of an... |
EAT_object | Create a EAT object |
eat-package | EAT: Efficiency Analysis Trees |
EAT_RSL_in | Russell Model with Input Orientation for an Efficiency... |
EAT_RSL_out | Russell Model with Output Orientation for an Efficiency... |
EAT_size | Number of Leaf Nodes in an Efficiency Analysis Trees model |
EAT_WAM | Weighted Additive Model for an Efficiency Analysis Trees... |
efficiencyCEAT | Efficiency Scores computed through a Convexified Efficiency... |
efficiencyDensity | Efficiency Scores Density Plot |
efficiencyEAT | Efficiency Scores computed through an Efficiency Analysis... |
efficiencyJitter | Efficiency Scores Jitter Plot |
efficiencyRFEAT | Efficiency Scores computed through a Random Forest +... |
estimEAT | Estimation of child nodes |
frontier | Efficiency Analysis Trees Frontier Graph |
generateLv | Train and Test Sets Generation |
imp_var_EAT | Breiman's Variable Importance |
imp_var_RFEAT | Variable Importance through Random Forest + Efficiency... |
isFinalNode | Is Final Node |
layout | Layout for nodes in plotEAT |
M_Breiman | Breiman Importance |
mse | Mean Squared Error |
mtry_inputSelection | Random Selection of Variables |
PISAindex | PISA score and social index by country |
plotEAT | Efficiency Analysis Trees Plot |
plotRFEAT | Random Forest + Efficiency Analysis Trees Plot |
posIdNode | Position of the node |
predict.EAT | Model Prediction for Efficiency Analysis Trees. |
predictFDH | Model prediction for Free Disposal Hull |
predictor | Efficiency Analysis Trees Predictor |
predict.RFEAT | Model prediction for Random Forest + Efficiency Analysis... |
preProcess | Data Preprocessing for Efficiency Analysis Trees |
RandomEAT | Individual EAT for Random Forest |
rankingEAT | Ranking of Variables by Efficiency Analysis Trees model. |
rankingRFEAT | Ranking of variables by Random Forest + Efficiency Analysis... |
RBranch | Branch Pruning |
RCV | RCV |
RFEAT | Random Forest + Efficiency Analysis Trees |
RFEAT_object | Create a RFEAT object |
RF_predictor | Random Forest + Efficiency Analysis Trees Predictor |
scores | Pruning Scores |
select_mtry | Select Possible Inputs in Split. |
selectTk | Select Tk |
SERules | SERules |
split | Split node |
split_forest | Split Node in Random Forest EAT |
treesForRCV | Trees for RCV |
X2Y2.sim | 2 Inputs & 2 Outputs Data Generation |
Y1.sim | Single Output Data Generation |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.