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

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

## Arguments

x vector of quantiles. mean and standard deviation of the distribution on the log scale with default values of 0 and 1 respectively. mean and standard deviation of the distribution on the log scale with default values of 0 and 1 respectively. logical; if TRUE, probabilities p are given as log(p).

## 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.

## Details

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

## Examples

liklnorm(x = rlnorm(n = 2))#> [1] -1.675313