liklnorm: Log Normal Log Likelihood Function

In BenBarnard/likelihoodExplore: Likelihood Exploration

Description

The log likelihood of a log normal density with data, x, meanlog and sdlog parameters.

Usage

liklnorm(meanlog = 0, sdlog = 1, x, log = FALSE)

Arguments

meanlog	mean and standard deviation of the distribution on the log scale with default values of 0 and 1 respectively.
sdlog	mean and standard deviation of the distribution on the log scale with default values of 0 and 1 respectively.
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 log normal density given the data where meanlog and sdlog can be held constant or if vector were given vector will be returned.

Examples

liklnorm(x = rlnorm(n = 2))

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