likelihoodExplore (version 0.1.0)

likt: Student's t Log Likelihood Function

Description

The log likelihood of a Student's t density with data, x, df and ncp parameters.

Usage

likt(x, df, ncp, log = TRUE)

Arguments

x

vector of quantiles.

df

degrees of freedom (\(> 0\), maybe non-integer). df = Inf is allowed.

ncp

non-centrality parameter \(\delta\); currently except for rt(), only for abs(ncp) <= 37.62. If omitted, use the central t distribution.

log

logical; if TRUE, probabilities p are given as log(p).

Value

A numeric scalar for the log likelihood of the Student's t density given the data where df 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

# NOT RUN {
likt(x = rt(n = 2, df = 4),
        df = 4)
# }