aic()

template<typename O , typename... Ts>

double aic

(

FilterValueType< O, Ts... > &

cache

)

Computes the (approximate) Akaike Information Criterion (AIC) of the model.

\(AIC = 2 ( \sum_a dim(r(a)) - \sum_{a\ observed} \log p(r(a)) ) \), where \(r\) is the maximum likelihood record in the cache.

Template Parameters

Ts	Types of distributions in the record

Parameters

cache

the empirical distribution over records

Returns

double