Bayesian information criterion for a xnicher fit — BIC.xnicher • xnicher

Computes \(-2 \log L + k \log n\), where \(n\) is nobs(object). Calls BIC.

Usage

# S3 method for class 'xnicher'
BIC(object, ...)

Arguments

object: a fitted model object for which there exists a logLik method to extract the corresponding log-likelihood, or an object inheriting from class logLik.
...: Additional fitted model objects.

Value

Numeric scalar, or a data.frame when multiple objects are passed.

Examples

# \donttest{
fit <- optimize_niche(env_occ = example_env_occ_2d,
                      env_m   = example_env_m_2d,
                      num_starts = 5L, likelihood = "weighted")
BIC(fit)
#> [1] 1322.253
# }