clr.test: Conditional Likelihood Ratio Test

Description Usage Arguments Details Author(s) Examples

Description

Likelihood ratio test for objects of class SYMARMA.

Usage

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clr.test(model1, model2)

Arguments

model1, model2

two models of class SYMARMA having the same set of records and the same type (“family”).

Details

Likelihood ratio test checks the difference between -2*logLikelihood of the two models against the change in degrees of freedom using a chi-squared test. The records used in the dataset for both models MUST be the same.

Author(s)

Vinicius Quintas Souto Maior and Francisco Jose A. Cysneiros

Maintainer: Vinicius Quintas Souto Maior <vinicius@de.ufpe.br>

Examples

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serie <- symarma.sim(model=list(ar=c(0.2,0.5)),n=70,family="Normal",
 varphi=1)
model0 <- elliptical.ts(serie,order=c(2,0,0))
model1 <- elliptical.ts(serie,order=c(1,0,0))
clr.test(model0,model1)

Example output

Attaching package: 'sym.arma'

The following objects are masked from 'package:stats':

    influence, predict, qqplot

                               
Call:                          
symarma(2,0,0) - family: Normal
             
Coefficients:
          Estimate Std. Error
intercept  -0.7982     0.2956
ar1         0.3057     0.1211
ar2         0.3415     0.1241
                                                      
Varphi estimated: 0.7294  (Std. Error: 0.1251)        
Log-likelihood: -85.76                                
RMSE: 11.96                                           
Number of iterations in Fisher scoring optimization: 1
                                                      
                               
Call:                          
symarma(1,0,0) - family: Normal
             
Coefficients:
          Estimate Std. Error
intercept  -0.9077     0.2357
ar1         0.5300     0.1036
                                                      
Varphi estimated: 0.8467  (Std. Error: 0.1442)        
Log-likelihood: -92.17                                
RMSE: 31.95                                           
Number of iterations in Fisher scoring optimization: 1
                                                      
                      
Conditional ratio test
                         
LogLik-1   -85.762       
LogLik-2   -92.165       
Df         1             
Chisq      12.807        
Pr(>Chisq) 3.4526e-04 ***
                                                             
---                                                          
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

sym.arma documentation built on May 2, 2019, 8:30 a.m.