[aut,
cre],
Thomas Nagler [ctb]User-friendly maximum likelihood estimation (Fisher (1921) <doi:10.1098/rsta.1922.0009>) of univariate densities.
| Version: | 1.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | assertthat, extraDistr, tibble, logitnorm, actuar, nakagami, fGarch |
| Suggests: | testthat, knitr, covr, rmarkdown, markdown, copula, dplyr |
| Published: | 2020-08-05 |
| Author: | Jonas Moss [aut,
cre],
Thomas Nagler [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://univariateml.netlify.com/ |
| 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_1.1.0.tar.gz |
| Windows binaries: | r-devel: univariateML_1.1.0.zip, r-release: univariateML_1.1.0.zip, r-oldrel: univariateML_1.0.0.zip |
| macOS binaries: | r-release: univariateML_1.0.0.tgz, r-oldrel: univariateML_1.1.0.tgz |
| Old sources: | univariateML archive |
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