likchisq: Chi-Squared Log Likelihood Function

In BenBarnard/likelihoodExplore: Likelihood Exploration

Description

The log likelihood of a chi-squared density with data, x, df and ncp parameters.

Usage

likchisq(df, ncp = 0, x, log = FALSE)

Arguments

df	degrees of freedom (non-negative, but can be non-integer).
ncp	non-centrality parameter (non-negative).
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 chi-squared density given the data where df and ncp can be held constant or if vector were given vector will be returned.

Examples

likchisq(x = rchisq(n = 2, df = 4),
        df = 4)

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