aicc
aicc(n, k, log_likelihood)Small-sample-corrected Akaike Information Criterion.
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
| n | int | Sample size. | required |
| k | int | Number of estimated parameters. | required |
| log_likelihood | float | The maximized log-likelihood. | required |
Returns
| Name | Type | Description |
|---|---|---|
| float |
Examples
>>> from corehydropy import aicc
>>> round(aicc(n=30, k=2, log_likelihood=-121.01131220612), 6)
246.467069