The log likelihood of a F density with data, x, df1, df2 and ncp parameters.

likf(x, df1, df2, ncp, log = TRUE)

## Arguments

x |
vector of quantiles. |

df1 |
degrees of freedom. `Inf` is allowed. |

df2 |
degrees of freedom. `Inf` is allowed. |

ncp |
non-centrality parameter. If omitted the central F is assumed. |

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

## Value

A numeric scalar for the log likelihood of the f density given the
data where df1, df2, 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

likf(x = rf(n = 2, df1 = 3, df2 = 4),
df1 = 3, df2 = 4)

#> [1] -1.224762