Other packages > Find by keyword >

crisp  

Fits a Model that Partitions the Covariate Space into Blocks in a Data- Adaptive Way
View on CRAN: Click here


Download and install crisp package within the R console
Install from CRAN:
install.packages("crisp")

Install from Github:
library("remotes")
install_github("cran/crisp")

Install by package version:
library("remotes")
install_version("crisp", "1.0.0")



Attach the package and use:
library("crisp")
Maintained by
Ashley Petersen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-05
Latest Update: 2017-01-05
Description:
Implements convex regression with interpretable sharp partitions (CRISP), which considers the problem of predicting an outcome variable on the basis of two covariates, using an interpretable yet non-additive model. CRISP partitions the covariate space into blocks in a data-adaptive way, and fits a mean model within each block. Unlike other partitioning methods, CRISP is fit using a non-greedy approach by solving a convex optimization problem, resulting in low-variance fits. More details are provided in Petersen, A., Simon, N., and Witten, D. (2016). Convex Regression with Interpretable Sharp Partitions. Journal of Machine Learning Research, 17(94): 1-31 .
How to cite:
Ashley Petersen (2017). crisp: Fits a Model that Partitions the Covariate Space into Blocks in a Data- Adaptive Way. R package version 1.0.0, https://cran.r-project.org/web/packages/crisp. Accessed 04 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited crisp R package
View crisp citation profile
Other R packages that crisp depends, imports, suggests or enhances
Complete documentation for crisp
Functions, R codes and Examples using the crisp R package
Some associated functions: crisp-package . crisp . crispCV . plot.cvError . plot . plot.sim.data . predict . sim.data . summary . 
Some associated R codes: CRISP_functions.R . crisp-package.R .  Full crisp package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
AMPLE  
Shiny Apps to Support Capacity Building on Harvest Control Rules
Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for fisheries management. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA