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

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

likt(x = rt(n = 2, df = 4),
df = 4)

#> [1] -2.695652