Learn R Programming

conformalInference.multi (version 1.1.1)

Conformal Inference Tools for Regression with Multivariate Response

Description

It computes full conformal, split conformal and multi split conformal prediction regions when the response variable is multivariate (i.e. dimension is greater than one). Moreover, the package also contain plot functions to visualize the output of the full and split conformal functions. To guarantee consistency, the package structure mimics the univariate 'conformalInference' package of professor Ryan Tibshirani. The main references for the code are: Lei et al. (2016) , Diquigiovanni, Fontana, and Vantini (2021) , Diquigiovanni, Fontana, and Vantini (2021) , Solari, and Djordjilovic (2021) .

Copy Link

Version

Install

install.packages('conformalInference.multi')

Monthly Downloads

547

Version

1.1.1

License

GPL-2

Issues

Pull Requests

Stars

Forks

Maintainer

Paolo Vergottini

Last Published

March 16th, 2022

Functions in conformalInference.multi (1.1.1)

lm_multi

Linear Modeling of Multivariate Response
mean_multi

Mean of Multivariate Response
conformal.multidim.jackplus

Multivariate Response Jackknife + Prediction Regions
conformal.multidim.full

Full Conformal Prediction Regions, Multivariate Response
conformalInference.multi-package

Conformal Inference Tools for Regression with Multivariate Response
plot_multidim

Plot Confidence Regions obtained with Split Conformal
elastic.funs

Elastic Net, Lasso, Ridge Regression Training and Prediction Functions
conformal.multidim.split

Split conformal prediction intervals with Multivariate Response
conformal.multidim.msplit

Multi Split Conformal Prediction Regions with Multivariate Response
computing_s_regression

Computing modulation function for residuals.
bikeMi

Log of all bike rentals in Milan in 2016 form January to March