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

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

Arguments

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.

x

vector of quantiles.

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

likt(x = rt(n = 2, df = 4), df = 4)
#> [1] 0.02145405