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Computes the corrected marginal Akaike Information Criterion (AICc) for model selection using optimization results. It supports objects returned from different optimizers, such as `optim` or `nlminb`.

Usage

marg_AIC(opt, p = 2, n = Inf)

Arguments

opt

A list containing optimization results. Must include either:

  • `"par"` and `"objective"` (e.g., from `optim`), or

  • `"par"` and `"value"` (e.g., from `nlminb`)

p

Numeric. Penalty multiplier for the number of parameters. Default is 2.

n

Numeric. Sample size. Default is `Inf`.

Value

Numeric. The corrected AIC (AICc) value.