Package: evreg 1.1.1

Thierry Denoeux

evreg: Evidential Regression

An implementation of the 'Evidential Neural Network for Regression' model recently introduced in Denoeux (2023) <doi:10.1109/TFUZZ.2023.3268200>. In this model, prediction uncertainty is quantified by Gaussian random fuzzy numbers as introduced in Denoeux (2023) <doi:10.1016/j.fss.2022.06.004>. 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).

Authors:Thierry Denoeux [aut, cre]

evreg_1.1.1.tar.gz
evreg_1.1.1.tar.gz(r-4.5-noble)evreg_1.1.1.tar.gz(r-4.4-noble)
evreg_1.1.1.tgz(r-4.4-emscripten)evreg_1.1.1.tgz(r-4.3-emscripten)
evreg.pdf |evreg.html
evreg/json (API)
NEWS

# Install 'evreg' in R:
install.packages('evreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.30 score 332 downloads 10 exports 14 dependencies

Last updated 11 months agofrom:deb26b44aa. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-linuxOKMar 06 2025
R-4.4-linuxOKMar 06 2025

Exports:BelBelintcombination_GRFNENNregENNreg_cvENNreg_holdoutENNreg_initintervalsPlpl_contour

Dependencies:evclustFNNlatticelimSolvelpSolveMASSMatrixmclustplyrquadprogR.methodsS3R.ooR.utilsRcpp

Introduction to the evreg package

Rendered fromIntroduction.Rmdusingknitr::rmarkdownon Mar 06 2025.

Last update: 2024-05-09
Started: 2023-01-17