summary.DV {PNAR}

S3 methods for extracting the results of the bound p-value for testing for smooth transition effects on PNAR(p) model

Description

S3 methods for extracting the results of the bound p-value for testing for smooth transition effects on PNAR(p) model.

Usage

## S3 method for class 'DV'
summary(object, ...)
## S3 method for class 'summary.DV'
print(x, ...)
## S3 method for class 'DV'
print(x, ...)

Arguments

object

An object containing the results of the function score_test_stnarpq_DV.

x

An object containing the results of the function score_test_stnarpq_DV.

...

Extra arguments the user can pass.

Details

The functions print the output of the bound p-value for testing for smooth transition effects on PNAR(p) model.

Value

The functions print the results of the function score_test_stnarpq_DV.

Author(s)

Mirko Armillotta, Michail Tsagris and Konstantinos Fokianos.

References

Armillotta, M. and K. Fokianos (2022a). Poisson network autoregression. https://arxiv.org/abs/2104.06296

Armillotta, M. and K. Fokianos (2022b). Testing linearity for network autoregressive models. https://arxiv.org/abs/2202.03852

Davies, R. B. (1987). Hypothesis testing when a nuisance parameter is present only under the alternative. Biometrika 74, 33-43.

Armillotta, M., Tsagris, M. and Fokianos, K. (2022c). The R-package PNAR for modelling count network time series. https://arxiv.org/abs/2211.02582

See Also

score_test_stnarpq_DV

Examples

data(crime)
data(crime_W)
mod1 <- lin_estimnarpq(crime, crime_W, p = 1)
ca <- mod1$coefs[, 1]
a <- score_test_stnarpq_DV(ca, crime, crime_W, p = 1, d = 1)
print(a)
summary(a)