log_likelihood {distributions3} R Documentation

## Compute the (log-)likelihood of a probability distribution given data

### Description

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.

### Usage

log_likelihood(d, x, ...)

likelihood(d, x, ...)


### Arguments

 d An object. The package provides methods for distribution objects such as those from Normal() or Binomial() etc. 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.

### Value

Numeric value of the (log-)likelihood.

### Examples

## 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))


[Package distributions3 version 0.2.1 Index]