likt: Student's t Log Likelihood Function
In likelihoodExplore: Likelihood Exploration

Description Usage Arguments Details Value Examples

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

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

`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).

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

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.