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evreg  

Evidential Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("evreg", "1.1.1")



Attach the package and use:
library("evreg")
Maintained by
Thierry Denoeux
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-17
Latest Update:
Description:
An implementation of the 'Evidential Neural Network for Regression' model recently introduced in Denoeux (2023) . In this model, prediction uncertainty is quantified by Gaussian random fuzzy numbers as introduced in Denoeux (2023) . The package contains functions for training the network, tuning hyperparameters by cross-validation or the hold-out method, and making predictions. It also contains utilities for making calculations with Gaussian random fuzzy numbers (such as, e.g., computing the degrees of belief and plausibility of an interval, or combining Gaussian random fuzzy numbers).
How to cite:
Thierry Denoeux (2023). evreg: Evidential Regression. R package version 1.1.1, https://cran.r-project.org/web/packages/evreg. Accessed 03 Jul. 2026.
Previous versions and publish date:
1.0.0 (2023-01-17 17:40), 1.0.1 (2023-02-04 10:02), 1.0.2 (2023-04-04 07:10), 1.0.3 (2023-11-09 12:30), 1.0.4 (2024-04-22 16:12), 1.1.0 (2024-05-08 15:20), 1.1.1 (2024-05-09 15:10)
Other packages that cited evreg R package
View evreg citation profile
Other R packages that evreg depends, imports, suggests or enhances
Complete documentation for evreg
Functions, R codes and Examples using the evreg R package
Some associated functions: Bel . Belint . ENNreg . ENNreg_cv . ENNreg_holdout . ENNreg_init . Pl . combination_GRFN . evreg . intervals . pl_contour . predict.ENNreg . 
Some associated R codes: Bel.R . Belint.R . ENNreg.R . ENNreg_cv.R . ENNreg_holdout.R . ENNreg_init.R . Pl.R . combination_GRFN.R . evreg.R . foncgrad_RFS.R . foncgrad_musigh.R . intervals.R . pl_contour.R . predict.ENNreg.R . rmsprop.R .  Full evreg package functions and examples
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