| crisp-package | crisp: A package for fitting a model that partitions the covariate space into blocks in a data-adaptive way. |
| crisp | Convex Regression with Interpretable Sharp Partitions (CRISP). |
| crispCV | CRISP with Tuning Parameter Selection via Cross-Validation. |
| plot | Plots Fit from 'crisp' or 'crispCV'. |
| plot.crisp | Plots Fit from 'crisp' or 'crispCV'. |
| plot.crispCV | Plots Fit from 'crisp' or 'crispCV'. |
| plot.cvError | Plots Cross-Validation Curve for 'crispCV'. |
| plot.sim.data | Plot Mean Model for Data. |
| predict | Predicts Observations for a New Covariate Matrix using Fit from 'crisp' or 'crispCV'. |
| predict.crisp | Predicts Observations for a New Covariate Matrix using Fit from 'crisp' or 'crispCV'. |
| predict.crispCV | Predicts Observations for a New Covariate Matrix using Fit from 'crisp' or 'crispCV'. |
| sim.data | Simulate Data to Use with 'crisp'. |
| summary | Summarizes Fit from 'crisp' or 'crispCV'. |
| summary.crisp | Summarizes Fit from 'crisp' or 'crispCV'. |
| summary.crispCV | Summarizes Fit from 'crisp' or 'crispCV'. |