The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
User-friendly maximum likelihood estimation (Fisher (1921) <doi:10.1098/rsta.1922.0009>) of univariate densities.
Version: | 1.1.1 |
Depends: | R (≥ 2.10) |
Imports: | assertthat, extraDistr, tibble, logitnorm, actuar, nakagami, fGarch |
Suggests: | testthat, knitr, rmarkdown, markdown, copula, dplyr, covr |
Published: | 2022-01-25 |
DOI: | 10.32614/CRAN.package.univariateML |
Author: | Jonas Moss |
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 |
Reference manual: | univariateML.pdf |
Vignettes: |
Copula Modeling Distributions Overview of univariateML |
Package source: | univariateML_1.1.1.tar.gz |
Windows binaries: | r-devel: univariateML_1.1.1.zip, r-release: univariateML_1.1.1.zip, r-oldrel: univariateML_1.1.1.zip |
macOS binaries: | r-release (arm64): univariateML_1.1.1.tgz, r-oldrel (arm64): univariateML_1.1.1.tgz, r-release (x86_64): univariateML_1.1.1.tgz, r-oldrel (x86_64): univariateML_1.1.1.tgz |
Old sources: | univariateML archive |
Reverse imports: | ale, kdensity, piecenorms, svines |
Please use the canonical form https://CRAN.R-project.org/package=univariateML to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.