R Observatory: Metrics for XNomial version 1.0.4.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

XNomial

1.0.4.1Package record

Exact Goodness-of-Fit Test for Multinomial Data with Fixed Probabilities

1packages depend

7.8Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Bill EngelsCRAN page ↗

Tests whether a set of counts fit a given expected ratio. For example, a genetic cross might be expected to produce four types in the relative frequencies of 9:3:3:1. To see whether a set of observed counts fits this expectation, one can examine all possible outcomes with xmulti() or a random sample of them with xmonte() and find the probability of an observation deviating from the expectation by at least as much as the observed. As a measure of deviation from the expected, one can use the log-likelihood ratio, the multinomial probability, or the classic chi-square statistic. A histogram of the test statistic can also be plotted and compared with the asymptotic curve.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("XNomial", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-xnomial

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-XNomial

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-XNomial

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

2NOTE11OK

Check messages

NOTEcompiled coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

File ‘XNomial/libs/XNomial.so’:
  Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’

It is good practice to register native routines and to disable symbol
search.

See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.

CRAN check page ↗

Slowest check: 1.9 min · r-devel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTE2026-09-08
ERROR11 OK, 1 NOTE, 1 ERROR2026-09-07
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.4.1

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 2
Examples that run: 100%2 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

XNomial

How these are measured

Downloads

7.8K

CRAN downloads in the past year

Rank #5,885 · ~21/day · ~648/mo

Releases R versions

Daily download trend is not available in this view yet.

44030 days

1.4K90 days

7.8K1 year

Compare downloads with other packages →

Also on342 r2u4 autocran3.6K conda_forge345 bioconda

How downloads are counted

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Installing XNomial adds no packages beyond those that come with R.

Depends (1)

R >= 2.14

Imports (0)

none

LinkingTo (0)

none

Suggests (1)

knitr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

POMS

How these are counted

Code & Tests

People & History

People (1)

Bill Engels

Author, Maintainer since 1.0.1 (2014)

Releases (4)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
R
R 3.1.0 released · 2014-04-10
3.0.3Latest
record
2014-02-02 · current release · diff ↗ ·
added 2 exports
xmonte, xmulti
1.0.4.1
record
2024-11-05 · diff ↗
1.0.4
record
2015-12-24 · diff ↗

Show 2 earlier eventsHide 2 earlier events

1.0.1
record
2014-02-09
R
R 3.0.0 released · 2013-04-03

Package metadata

First published: 2014-02-02
Total releases: 4 / 12 yrs
License: GPL
Minimum R: ≥ 2.14
Download size: 353 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("XNomial")

Format

Engels, B. (2024). XNomial: Exact Goodness-of-Fit Test for Multinomial Data with Fixed Probabilities (Version 1.0.4.1) [Computer software]. https://doi.org/10.32614/CRAN.package.XNomial

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 XNomial version 1.0.4.1 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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