likbeta {likelihoodExplore} | R Documentation |
Beta Log Likelihood Function
Description
The log likelihood of a beta density with data, x, shape1, shape2 and ncp parameters.
Usage
likbeta(x, shape1, shape2, ncp = 0, log = TRUE)
Arguments
x |
vector of quantiles. |
shape1 |
non-negative parameters of the Beta distribution. |
shape2 |
non-negative parameters of the Beta distribution. |
ncp |
non-centrality parameter. |
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)
[Package likelihoodExplore version 0.1.0 Index]