Calculate the log-likelihood or density for a robust normal distribution.
Usage
drobust(x, mu, sigma, log = FALSE)
Arguments
- x
a numeric vector of observed values.
- mu
a numeric vector of mean values.
- sigma
a numeric vector of standard deviation values.
- log
a logical indicating whether to return log-likelihood (TRUE) or density (FALSE).
Value
a numeric vector of (log-)likelihoods.
Examples
drobust(x = 5, mu = 4, sigma = 0.9, log = TRUE)
#> [1] -0.4935543