CRAN: Package univariateML

univariateML: Maximum Likelihood Estimation for Univariate Densities

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

Version: 1.5.0

Depends: R (≥ 2.10)

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

Suggests: testthat, knitr, rmarkdown, markdown, copula, dplyr, covr

Published: 2025年03月04日

DOI: 10.32614/CRAN.package.univariateML

Author: Jonas Moss ORCID iD [aut, cre], Thomas Nagler [ctb], Chitu Okoli [ctb]

Maintainer: Jonas Moss <jonas.gjertsen at gmail.com>

BugReports: https://github.com/JonasMoss/univariateML/issues

License: MIT + file LICENSE

URL: https://github.com/JonasMoss/univariateML, https://jonasmoss.github.io/univariateML/

NeedsCompilation: no

Citation: univariateML citation info

Materials: README

CRAN checks: univariateML results

Documentation:

Reference manual: univariateML.html , univariateML.pdf

Vignettes: Copula Modeling (source, R code)
Distributions (source, R code)
Overview of univariateML (source, R code)

Downloads:

Package source: univariateML_1.5.0.tar.gz

Windows binaries: r-devel: univariateML_1.5.0.zip, r-release: univariateML_1.5.0.zip, r-oldrel: univariateML_1.5.0.zip

macOS binaries: r-release (arm64): univariateML_1.5.0.tgz, r-oldrel (arm64): univariateML_1.5.0.tgz, r-release (x86_64): univariateML_1.5.0.tgz, r-oldrel (x86_64): univariateML_1.5.0.tgz

Old sources: univariateML archive

Reverse dependencies:

Reverse imports: ale, autogam, EBcoBART, kdensity, piecenorms, svines

Linking:

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