likt: Student's t Log Likelihood Function

In BenBarnard/likelihoodExplore: Likelihood Exploration

Description

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

Usage

likt(df, ncp, x, log = FALSE)

Arguments

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.
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 Student's t density given the data where df and ncp can be held constant or if vector were given vector will be returned.

Examples

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

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