R Observatory: Metrics for univariateML version 1.5.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

univariateML

1.5.0Package record

Maximum Likelihood Estimation for Univariate Densities

8packages dependsuggested by 2

13.8Kdownloads / year

95.4%test coverage

13/13flavors OK

Overview

About

Maintained by Jonas MossCRAN page ↗GitHub ↗Website ↗Issues ↗

User-friendly maximum likelihood estimation (Fisher (1921) doi:10.1098/rsta.1922.0009) of univariate densities.

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("JonasMoss/univariateML")

Development version from JonasMoss/univariateML. Installs pak first if it is not already available.

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-univariateml

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-univariateML

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-univariateML

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

13OK

CRAN check page ↗

Slowest check: 3.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.5.0

READMEYes · 642 wordsVignettesYes · 3 · dynamicNEWSNoCitation fileYes · cites a publicationWebsiteYes · pkgdown

Cites a JOSS paper

Help pages: 66 (9 internal)includes a package overview page
Examples that run: 98%50 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 96%
Documented parameters: 99%
Return-value docs: 96%
Help pages citing references: 73%

Vignettes (3)

How these are measured

Downloads

13.8K

CRAN downloads in the past year

Rank #3,628 · ~38/day · ~1.2K/mo

Releases R versions

Daily download trend is not available in this view yet.

1.3K30 days

2.8K90 days

13.8K1 year

Compare downloads with other packages →

Also on191 r2u3 autocran

How downloads are counted

Repository

jonasmoss/univariateml ↗Account: JonasMoss

9Stars

6Forks

4Open issues

0Open PRs

6Releases

365Commits

3Commit identities

estimationdensitymaximum-likelihood

365 commits · Last activity 2025-03-03

Responsiveness

How these are sampled

PRs merged (all time): 87%
Median days to close, 50 most recently updated closed issues: 10
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-07-30 · 92026-07-07 · 9

How these are measured

PracticesBeta

15 development-tooling and community-health practices detected across 7 families in the upstream repository

Checks run against github.com/jonasmoss/univariateml on 2026-10-18.

Continuous integration (4)

GitHub ActionsR CMD check workflowTravis CI (config file)AppVeyor

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (2)

Code of conductContributing guide

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2025-03-03 · The repository has a site deploy workflow

Coverage (1)

Coverage reporting (Codecov)

Show all practicesHide 3 practices

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Installing univariateML adds 44 packages (28 with compiled code, 26 MB of source tarballs). Heaviest: poweRlaw 4.3 MB, nloptr 2.1 MB, Rcpp 1.8 MB.

Depends (1)

R >= 2.10

Imports (12)

assertthat extraDistr tibble logitnorm actuar nakagami fGarch rlang intervals Rfast pracma sads

LinkingTo (0)

none

Suggests (7)

testthat knitr rmarkdown markdown copula dplyr covr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

8direct

1indirect

Imports 8

Suggested by 2

Depends, Imports or LinkingTo, most downloaded first

kdensity ale svines EBcoBART peppwR piecenorms autogam RealSurvSim

Suggests, most downloaded first

rvinecopulib bifrost

How these are counted

Code & Tests

Datasets

People & History

People (3)

Jonas Moss

Author, Maintainer since 1.0.0 (2019)

Thomas Nagler

Contributor · added in 1.1.0

Chitu Okoli

Contributor · added in 1.5.0

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
1.5.0Latest
record
2025-03-04 · current release · diff ↗ ·
added 14 exports
mlbinom, mlburr, mldunif, mlfatigue, mlgeom, mlgompertz, mlinvburr, mllgser, mlnbinom, mlparalogis, mlpois, mlzip, mlzipf, univariateML_metadata
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
1.1.1
record
2022-01-25 · diff ↗
R
R 4.1.0 released · 2021-05-18
1.1.0
record
2020-08-05 · diff ↗ ·
added 7 exports
mlged, mlsged, mlsnorm, mlsstd, mlstd, model_select, univariateML_models
R
R 4.0.0 released · 2020-04-24
1.0.0
record
2019-12-18
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-12-18
Total releases: 4 / 7 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 2.10
Bundled data: 39 KB / 3 files
Download size: 565 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("univariateML")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.21105/joss.01863.

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 univariateML version 1.5.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, 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 →