Man pages for PrInDT
Prediction and Interpretation in Decision Trees for Classification and Regression
| C2SPrInDT | Two-stage estimation for classification |
| data_land | Landscape analysis |
| data_speaker | Subject pronouns and a predictor with one very frequent level |
| data_vowel | Vowel length |
| data_zero | Subject pronouns |
| Mix2SPrInDT | Two-stage estimation for classification-regression mixtures |
| NesPrInDT | Nested 'PrInDT' with additional undersampling of a factor... |
| OptPrInDT | Optimisation of undersampling percentages for classification |
| participant_zero | Participants of subject pronoun study |
| PostPrInDT | Posterior analysis of conditional inference trees:... |
| PrInDT | The basic undersampling loop for classification |
| PrInDTAll | Conditional inference tree (ctree) based on all observations |
| PrInDTAllparts | Conditional inference trees (ctrees) based on consecutive... |
| PrInDTCstruc | Structured subsampling for classification |
| PrInDTMulab | Multiple label classification based on resampling by 'PrInDT' |
| PrInDTMulabAll | Multiple label classification based on all observations |
| PrInDTMulev | PrInDT analysis for a classification problem with multiple... |
| PrInDTMulevAll | Conditional inference tree (ctree) for multiple classes on... |
| PrInDTreg | Regression tree resampling by the PrInDT method |
| PrInDTregAll | Regression tree based on all observations |
| PrInDTRstruc | Structured subsampling for regression |
| R2SPrInDT | Two-stage estimation for regression |
| RePrInDT | Repeated 'PrInDT' for specified percentage combinations |
| SimCPrInDT | Interdependent estimation for classification |
| SimMixPrInDT | Interdependent estimation for classification-regression... |
| SimRPrInDT | Interdependent estimation for regression |
