computing_s_regression: Computing modulation function for residuals.
In paolo-vergo/conformalInference.multi: Conformal Inference Tools for Regression with Multivariate Response
computing_s_regression R Documentation
Computing modulation function for residuals.
Description
It computes values for local scoring.
Usage
computing_s_regression(mat_residual, type, alpha, tau)
Arguments
mat_residual
A vector of the residuals obtained via multivariate modeling.
type
A string indicating the type of modulation function chosen.
The alternatives are "identity","st-dev","alpha-max".
alpha
The value of the confidence interval.
tau
A number between 0 and 1 used for the randomized version of the algorithm
Details
It is an helper function for conformal.multidim.split and
conformal.multidim.msplit
Value
It returns local scoring values for the residuals.
References
"Conformal Prediction Bands for Multivariate Functional Data"
by Diquigiovanni, Fontana, Vantini (2021)
paolo-vergo/conformalInference.multi documentation built on July 4, 2023, 9:50 a.m.
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| computing_s_regression | R Documentation |
Computing modulation function for residuals.
Description
It computes values for local scoring.
Usage
computing_s_regression(mat_residual, type, alpha, tau)
Arguments
mat_residual |
A vector of the residuals obtained via multivariate modeling. |
type |
A string indicating the type of modulation function chosen. The alternatives are "identity","st-dev","alpha-max". |
alpha |
The value of the confidence interval. |
tau |
A number between 0 and 1 used for the randomized version of the algorithm |
Details
It is an helper function for conformal.multidim.split and
conformal.multidim.msplit
Value
It returns local scoring values for the residuals.
References
"Conformal Prediction Bands for Multivariate Functional Data" by Diquigiovanni, Fontana, Vantini (2021)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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