Ubuntu
r-cran-gb2 package

r-cran-gb2 2.1.1-1 source package in Ubuntu

Changelog

r-cran-gb2 (2.1.1-1) unstable; urgency=medium

  * New upstream version
  * Standards-Version: 4.6.1 (routine-update)
  * Reorder sequence of d/control fields by cme (routine-update)

 -- Andreas Tille <email address hidden>  Mon, 27 Jun 2022 14:49:04 +0200

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Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

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Builds

Kinetic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
r-cran-gb2_2.1.1-1.dsc 2.0 KiB 90959d29e217af8939ec1fcf09a48614efa3c36d9e624843a2706a356318f8a9
r-cran-gb2_2.1.1.orig.tar.gz 38.8 KiB d98b1ef5066ad6078f4fd7cb2b0510b88d8dddc467697d237e70b24ea5f71b16
r-cran-gb2_2.1.1-1.debian.tar.xz 2.4 KiB b04bd5efed8266d2113a374591c97b03f047fbee97c76d2be3852bb9129da1c8

Available diffs

No changes file available.

Binary packages built by this source

r-cran-gb2: GNU R generalized beta distribution of the second kind

 Properties, Likelihood, Estimation Package GB2 explores the Generalized
 Beta distribution of the second kind. Density, cumulative distribution
 function, quantiles and moments of the distributions are given.
 Functions for the full log-likelihood, the profile log-likelihood and
 the scores are provided. Formulas for various indicators of inequality
 and poverty under the GB2 are implemented. The GB2 is fitted by the
 methods of maximum pseudo-likelihood estimation using the full and
 profile log-likelihood, and non-linear least squares estimation of the
 model parameters. Various plots for the visualization and analysis of
 the results are provided. Variance estimation of the parameters is
 provided for the method of maximum pseudo-likelihood estimation. A
 mixture distribution based on the compounding property of the GB2 is
 presented (denoted as "compound" in the documentation). This mixture
 distribution is based on the discretization of the distribution of the
 underlying random scale parameter. The discretization can be left or
 right tail. Density, cumulative distribution function, moments and
 quantiles for the mixture distribution are provided. The compound
 mixture distribution is fitted using the method of maximum pseudo-
 likelihood estimation. The fit can also incorporate the use of auxiliary
 information. In this new version of the package, the mixture case is
 complemented with new functions for variance estimation by linearization
 and comparative density plots.