computing_s_regression

A vector of the residuals obtained via functional modeling.

vec_residual

A string indicating the type of modulation function chosen.
The alternatives are "identity","st-dev","alpha-max".

type

The value of the confidence interval.

alpha

A number between 0 and 1 used for the randomized version of the
algorithm.

A vector containing the number of grid points in each dimension.

grid_size

It computes modulation functions which allows local scaling of the prediction bands
.

It computes full conformal, split conformal and multi split
conformal prediction regions when the response has functional nature.
Moreover, the package also contain a plot function to visualize the
output of the split conformal.
To guarantee consistency, the package structure mimics the univariate
'conformalInference' package of professor Ryan Tibshirani.
The main references for the code are:
Diquigiovanni, Fontana, and Vantini (2021) <arXiv:2102.06746>,
Diquigiovanni, Fontana, and Vantini (2021) <arXiv:2106.01792>,
Solari, and Djordjilovic (2021) <arXiv:2103.00627>.

computing_s_regression: COMPUTING THE MODULATION FUNCTION S

Description

Usage

Arguments

Value

Details