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

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

## Arguments

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

## 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.

## Details

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

## Examples

likbeta(x = rbeta(n = 2, shape1 = 3, shape2 = 4), shape1 = 3, shape2 = 4)
#> [1] 1.869996