Skip to content

energyGOF

0.1Package record

Goodness-of-Fit Tests for Univariate Data via Energy

0packages depend
2.1Kdownloads / year
89.9%test coverage
13/13flavors OK

Overview

About

Conduct one- and two-sample goodness-of-fit tests for univariate data. In the one-sample case, normal, uniform, exponential, Bernoulli, binomial, geometric, beta, Poisson, lognormal, Laplace, asymmetric Laplace, inverse Gaussian, half-normal, chi-squared, gamma, F, Weibull, Cauchy, and Pareto distributions are supported. egof.test() can also test goodness-of-fit to any distribution with a continuous distribution function. A subset of the available distributions can be tested for the composite goodness-of-fit hypothesis, that is, one can test for distribution fit with unknown parameters. P-values are calculated via parametric bootstrap.

Install

Health

CRAN checks
13OK
Slowest check: 2.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1
READMEYes · 93 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
22includes a package overview page
Examples that run
100%20 run in a plain check
Exported functions with examples
95%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
5%

Downloads

2.1K
CRAN downloads in the past year
Rank #22,832 · ~6/day · ~173/mo
Daily download trend is not available in this view yet.
19030 days
57490 days
2.1K1 year
Compare downloads with other packages →
Also on67 r2u2 autocran

Repository

1Stars
0Forks
0Open issues
0Open PRs
0Releases
176Commits
1Commit identities
176 commits · Last activity 2026-05-12
Responsiveness
not measured

Stars over time

2025-08-15 · 12026-07-07 · 1
PracticesBeta

Checks run against github.com/jthaman/energygof on 2026-10-22.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing energyGOF adds 6 packages (5 with compiled code, 5.3 MB of source tarballs). Heaviest: fitdistrplus 2.4 MB, Rcpp 1.8 MB, rlang 766 KB.

Depends (0)
none
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.1 (2025)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1Latest
    2025-12-01 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-12-01
Total releases
1 / 1 yrs
License
GPL (>= 3) OSI
Download size
35 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("energyGOF")
Haman, J. (2025). energyGOF: Goodness-of-Fit Tests for Univariate Data via Energy (Version 0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.energyGOF

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for energyGOF version 0.1 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy