| opticut-package | Likelihood Based Optimal Partitioning and Indicator Species Analysis |
| allComb | Finding All Possible Binary Partitions |
| as.data.frame.multicut | Multi-level Response Model |
| as.data.frame.opticut | Optimal Binary Response Model |
| as.data.frame.summary.multicut | Multi-level Response Model |
| as.data.frame.summary.opticut | Optimal Binary Response Model |
| as.data.frame.summary.uncertainty | Quantifying Uncertainty for Fitted Objects |
| as.data.frame.uncertainty | Quantifying Uncertainty for Fitted Objects |
| bestmodel | Best model, Partition, and MLE |
| bestmodel.multicut | Multi-level Response Model |
| bestmodel.opticut | Optimal Binary Response Model |
| bestmodel.optilevels | Optimal Number of Factor Levels |
| bestpart | Best model, Partition, and MLE |
| bestpart.multicut | Multi-level Response Model |
| bestpart.opticut | Optimal Binary Response Model |
| bestpart.uncertainty | Quantifying Uncertainty for Fitted Objects |
| bestpart.uncertainty1 | Quantifying Uncertainty for Fitted Objects |
| beta2i | Scaling for the Indicator Potential |
| birdrec | Bird Species Detections |
| bsmooth | Quantifying Uncertainty for Fitted Objects |
| bsmooth.uncertainty | Quantifying Uncertainty for Fitted Objects |
| bsmooth.uncertainty1 | Quantifying Uncertainty for Fitted Objects |
| checkComb | Finding All Possible Binary Partitions |
| check_strata | Quantifying Uncertainty for Fitted Objects |
| col2gray | Color Palettes for the opticut Package |
| dolina | Land Snail Data Set |
| fitted.multicut | Multi-level Response Model |
| fitted.opticut | Optimal Binary Response Model |
| fix_levels | Optimal Binary Response Model |
| getMLE | Best model, Partition, and MLE |
| getMLE.multicut | Multi-level Response Model |
| getMLE.opticut | Optimal Binary Response Model |
| iquantile | Lorenz Curve Based Thresholds and Partitions |
| iquantile.lorenz | Lorenz Curve Based Thresholds and Partitions |
| kComb | Finding All Possible Binary Partitions |
| lcplot | Multi-level Response Model |
| lcplot.multicut1 | Multi-level Response Model |
| lorenz | Lorenz Curve Based Thresholds and Partitions |
| multicut | Multi-level Response Model |
| multicut.default | Multi-level Response Model |
| multicut.formula | Multi-level Response Model |
| multicut1 | Multi-level Response Model |
| occolors | Color Palettes for the opticut Package |
| oComb | Ranking Based Binary Partitions |
| ocoptions | Options for the opticut Package |
| opticut | Optimal Binary Response Model |
| opticut.default | Optimal Binary Response Model |
| opticut.formula | Optimal Binary Response Model |
| opticut1 | Optimal Binary Response Model |
| optilevels | Optimal Number of Factor Levels |
| plot.lorenz | Lorenz Curve Based Thresholds and Partitions |
| plot.multicut | Multi-level Response Model |
| plot.multicut1 | Multi-level Response Model |
| plot.opticut | Optimal Binary Response Model |
| predict.multicut | Multi-level Response Model |
| predict.opticut | Optimal Binary Response Model |
| print.multicut | Multi-level Response Model |
| print.multicut1 | Multi-level Response Model |
| print.opticut | Optimal Binary Response Model |
| print.opticut1 | Optimal Binary Response Model |
| print.summary.lorenz | Lorenz Curve Based Thresholds and Partitions |
| print.summary.multicut | Multi-level Response Model |
| print.summary.opticut | Optimal Binary Response Model |
| print.summary.uncertainty | Quantifying Uncertainty for Fitted Objects |
| print.uncertainty | Quantifying Uncertainty for Fitted Objects |
| print.uncertainty1 | Quantifying Uncertainty for Fitted Objects |
| quantile.lorenz | Lorenz Curve Based Thresholds and Partitions |
| rankComb | Ranking Based Binary Partitions |
| strata | Optimal Binary Response Model |
| strata.multicut | Multi-level Response Model |
| strata.opticut | Optimal Binary Response Model |
| strata.uncertainty | Quantifying Uncertainty for Fitted Objects |
| subset.multicut | Multi-level Response Model |
| subset.opticut | Optimal Binary Response Model |
| subset.uncertainty | Quantifying Uncertainty for Fitted Objects |
| summary.lorenz | Lorenz Curve Based Thresholds and Partitions |
| summary.multicut | Multi-level Response Model |
| summary.opticut | Optimal Binary Response Model |
| summary.uncertainty | Quantifying Uncertainty for Fitted Objects |
| uncertainty | Quantifying Uncertainty for Fitted Objects |
| uncertainty.multicut | Quantifying Uncertainty for Fitted Objects |
| uncertainty.opticut | Quantifying Uncertainty for Fitted Objects |
| warblers | Warblers Data Set |
| wplot | Optimal Binary Response Model |
| wplot.opticut | Optimal Binary Response Model |
| wplot.opticut1 | Optimal Binary Response Model |