| 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'. |