likbeta: Beta Log Likelihood Function

In BenBarnard/likelihoodExplore: Likelihood Exploration

Description

The log likelihood of a beta density with data, x, shape1, shape2 and ncp parameters.

Usage

likbeta(shape1, shape2, ncp = 0, x, log = FALSE)

Arguments

shape1	non-negative parameters of the Beta distribution.
shape2	non-negative parameters of the Beta distribution.
ncp	non-centrality parameter.
x	vector of quantiles.
log	logical; if TRUE, probabilities p are given as log(p).

Details

The log likelihood is the log of a function of parameters given the data.

Value

A numeric scalar for the log likelihood of the beta density given the data where shape1, shape2, and ncp can be held constant or if vector were given vector will be returned.

Examples

likbeta(x = rbeta(n = 2, shape1 = 3, shape2 = 4),
        shape1 = 3, shape2 = 4)

BenBarnard/likelihoodExplore documentation built on Dec. 4, 2019, 4:38 p.m.