liklnorm: Log Normal Log Likelihood Function

Description Usage Arguments Details Value Examples

Description

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

Usage

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

Arguments

x

vector of quantiles.

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.

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

1
liklnorm(x = rlnorm(n = 2))

likelihoodExplore documentation built on May 1, 2019, 10:21 p.m.