R Observatory: Metrics for evreg version 1.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2025-06-02. Its history is shown below.

Reason: requires archived package 'evclust'

Details below reflect version 1.1.1, its last release before removal.

evreg

1.1.1Package record

Evidential Regression

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Thierry DenoeuxCRAN page ↗

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).

Changes in 1.1.1

The changes made in version 1.1.0 concerning the loss function of ENNreg and its gradient could result in performance degradation. These changes have been reverted, so that results reported in the IEEE TFS paper can be reproduced.

From NEWS in the release

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/evreg/evreg_1.1.1.tar.gz"
pkgFile <- "evreg_1.1.1.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.1.1) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.1

READMENoVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.1.1Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 12 (1 internal)includes a package overview page
Examples that run: 64%7 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 89%
Return-value docs: 100%
Help pages citing references: 67%

How these are measured

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on53 r2u4 autocran35 c2d4u

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.1.0

Imports (2)

evcluststats

LinkingTo (0)

none

Suggests (5)

knitr rmarkdownnnetMASSggplot2

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Thierry Denoeux

Author, Maintainer since 1.0.0 (2023)

Releases (7)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2025-06-02
requires archived package 'evclust'
R
R 4.5.0 released · 2025-04-11
1.1.1
record
2024-05-09 · diff ↗
1.1.0
record
2024-05-08 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.0.4
record
2024-04-22 · diff ↗
1.0.3
record
2023-11-09 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.0.2
record
2023-04-04 · diff ↗
1.0.1
record
2023-02-04 · diff ↗
1.0.0
record
2023-01-17
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2023-01-17
Total releases: 7 / 3 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.1.0

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("evreg")

Format

Denoeux, T. (n.d.). evreg: Evidential Regression (Version 1.1.1) [Computer software]. Retrieved October 22, 2026, from https://CRAN.R-project.org/package=evreg

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for evreg version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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