stat.extend: Highest Density Regions and Other Functions of Distributions

Highest Density Regions are the smallest set in the support of a probability distribution with the specified coverage probability. 'HDRs' may contain disjoint intervals, but can be calculated efficiently using iterative methods. One can similarly construct optimal (i.e., shortest) confidence intervals for some basic inferential problems, including for population means, variances, or proportion parameters.

Version:	0.2.1
Imports:	sets
Suggests:	extraDistr, invgamma, matrixStats, VGAM
Published:	2021-11-23
Author:	Ben O'Neill [aut, cph], Neal Fultz [cre, ctb]
Maintainer:	Neal Fultz <nfultz at gmail.com>
License:	MIT + file LICENSE
Copyright:	Ben O'Neill 2020
NeedsCompilation:	no
CRAN checks:	stat.extend results

Documentation:

Reference manual:

stat.extend.pdf

Downloads:

Package source:	stat.extend_0.2.1.tar.gz
Windows binaries:	r-devel: stat.extend_0.2.1.zip, r-release: stat.extend_0.2.1.zip, r-oldrel: stat.extend_0.2.1.zip
macOS binaries:	r-release (arm64): stat.extend_0.2.1.tgz, r-oldrel (arm64): stat.extend_0.2.1.tgz, r-release (x86_64): stat.extend_0.2.1.tgz, r-oldrel (x86_64): stat.extend_0.2.1.tgz
Old sources:	stat.extend archive

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