AIC.eblupres: Akaike's An Information Criterion.

In saens: Small Area Estimation with Cluster Information for Estimation of Non-Sampled Areas

Akaike's An Information Criterion.

Description

Generic function calculating Akaike's "An Information Criterion" for EBLUP model

Usage

## S3 method for class 'eblupres'
AIC(object, ...)

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

Arguments

object	EBLUP model.
...	further arguments passed to or from other methods.

Value

AIC value.

Examples

m1 <- eblupfh_cluster(y ~ x1 + x2 + x3, data = mys, vardir = "var", cluster = "clust")
AIC(m1)

saens documentation built on April 4, 2025, 4:43 a.m.