likf: F Log Likelihood Function

In BenBarnard/likelihoodExplore: Likelihood Exploration

Description

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

Usage

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

Arguments

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.
x	vector of quantiles.
log	logical; if TRUE, probabilities p are given as log(p).

Details

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

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.

Examples

likf(x = rf(n = 2, df1 = 3, df2 = 4),
        df1 = 3, df2 = 4, ncp = 0)

BenBarnard/likelihoodExplore documentation built on Dec. 4, 2019, 4:38 p.m.