The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.

stable: Probability Functions and Generalized Regression Models for Stable Distributions

Density, distribution, quantile and hazard functions of a stable variate; generalized regression models for the parameters of a stable distribution. See the README for how to make equivalent calls to those of 'stabledist' (i.e., Nolan's 0-parameterization and 1-parameterization as detailed in Nolan (2020)). See github for Lambert and Lindsey 1999 JRSS-C journal article, which details the parameterization of the Buck (1995) stable. See the Details section of the '?dstable' help file for context and references.

Version: 1.1.6
Depends: R (≥ 1.4), rmutil
Published: 2022-03-02
Author: Bruce Swihart [cre, aut], Jim Lindsey [aut] (Jim created this package, Bruce is maintaining the CRAN version), Philippe Lambert [aut]
Maintainer: Bruce Swihart <bruce.swihart at gmail.com>
BugReports: https://github.com/swihart/stable/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.commanster.eu/rcode.html
NeedsCompilation: yes
Materials: README NEWS
In views: Distributions
CRAN checks: stable results

Documentation:

Reference manual: stable.pdf

Downloads:

Package source: stable_1.1.6.tar.gz
Windows binaries: r-devel: stable_1.1.6.zip, r-release: stable_1.1.6.zip, r-oldrel: stable_1.1.6.zip
macOS binaries: r-release (arm64): stable_1.1.6.tgz, r-oldrel (arm64): stable_1.1.6.tgz, r-release (x86_64): stable_1.1.6.tgz, r-oldrel (x86_64): stable_1.1.6.tgz
Old sources: stable archive

Reverse dependencies:

Reverse imports: modeest

Linking:

Please use the canonical form https://CRAN.R-project.org/package=stable 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.
Health stats visible at Monitor.