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stat.extend (version 0.2.1)

Highest Density Regions and Other Functions of Distributions

Description

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.

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Install

install.packages('stat.extend')

Monthly Downloads

60

Version

0.2.1

License

MIT + file LICENSE

Maintainer

Neal Fultz

Last Published

November 23rd, 2021

Functions in stat.extend (0.2.1)

Matching

The Generalized Matching Distribution
HDR.monotone

Highest density region (HDR) for an arbitrary distributions
moments.matching

Moments of the generalised matching distribution
matching.test

Matching test
CONF

Optimal Confidence Intervals for finite populations
HDR.discrete

Highest density region (HDR) for an arbitrary discrete distribution
HDR

Highest density region (HDR)
lsubfactorial

Logarithm of the subfactorial numbers
checkIterArgs

Used to inherit roxygen docs
reformat

Reformat HDRs and confidence intervals objects
MLE.matching

Maximum likelihood estimator (MLE) in the generalised matching distribution