BIC-MNM-method: BIC Method for "MNM" Class
In MultiNMix: Multi-Species N-Mixture (MNM) Models with 'nimble'
BIC,MNM-method R Documentation
BIC Method for "MNM" Class
Description
Computes the Bayesian Information Criterion (BIC) for an object of class "MNM".
BIC is a metric used for model comparison, accounting for goodness of fit and the size of the dataset.
The formula for BIC is:
BIC = -2 \cdot \log L + \log(n) \cdot k
where:
-
\log L is the log-likelihood of the model.
-
n is the number of observations in the dataset.
-
k is the number of parameters in the model.
Usage
## S4 method for signature 'MNM'
BIC(object)
Arguments
object
An object of class "MNM".
Value
A numeric value representing the BIC of the fitted model.
MultiNMix documentation built on April 3, 2025, 6:10 p.m.
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| BIC,MNM-method | R Documentation |
BIC Method for "MNM" Class
Description
Computes the Bayesian Information Criterion (BIC) for an object of class "MNM".
BIC is a metric used for model comparison, accounting for goodness of fit and the size of the dataset.
The formula for BIC is:
BIC = -2 \cdot \log L + \log(n) \cdot k
where:
-
\log Lis the log-likelihood of the model. -
nis the number of observations in the dataset. -
kis the number of parameters in the model.
Usage
## S4 method for signature 'MNM'
BIC(object)
Arguments
object |
An object of class |
Value
A numeric value representing the BIC of the fitted model.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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