log_likelihood {distributions3} | R Documentation |
Functions for computing the (log-)likelihood based on a distribution object and observed data. The log-likelihood is computed as the sum of log-density contributions and the likelihood by taking the exponential thereof.
log_likelihood(d, x, ...)
likelihood(d, x, ...)
d |
An object. The package provides methods for distribution
objects such as those from |
x |
A vector of data to compute the likelihood. |
... |
Arguments passed to methods. Unevaluated arguments will generate a warning to catch mispellings or other possible errors. |
Numeric value of the (log-)likelihood.
## distribution object
X <- Normal()
## sum of log_pdf() contributions
log_likelihood(X, c(-1, 0, 0, 0, 3))
## exp of log_likelihood()
likelihood(X, c(-1, 0, 0, 0, 3))