getPosteriorParam: Compute posterior probability distribution parameters

In dupiR: Bayesian inference from count data using discrete uniform priors

Description

Obtain statistical parameters from the posterior probability distribution. Particularly, this function computes credible intervals at a given confidence level (default to 95%).

Usage

getPosteriorParam(object, low = 0.025, up = 0.975, ...)

Arguments

object	An object of class 'Counts'
low	The left tail posterior probability
up	1 - the right tail posterior probability
...	Additional arguments, for compatibility with plotPosterior

Value

An object of class Counts.

Methods

signature(object = "Counts") an object of class Counts.

Author(s)

Federico Comoglio, [e-mail]

See Also

Counts, plotPosterior

Examples

K <- newCounts( counts = c(20,30), fractions = c(0.075, 0.10))

#using default parameters (DUP, sampling without replacement and default prior support)
K.dup <- computePosterior(K)

getPosteriorParam(K.dup)

dupiR documentation built on May 2, 2019, 3:43 a.m.