Learn R Programming

nlts (version 0.1-9)

add.test: The Lagrange multiplier test for additivity in a timeseries

Description

add.test is a function to test the permissibility of the additive autoregressive model: N(t) = f1(N(t-1)) + f2(N(t-2)) + ... + fd(N(t-d)) + e(t ) against the alternative: N(t) = F(N(t-1), N(t-2), ..., N(t-d)) + e(t)

Usage

add.test(x, order, n.cond = FALSE)

Arguments

Value

a vector is returned consisting of the asymtpotic chi-square value, the associated d.f. and asymptotic p.val for the test of additivity.

Details

This is the Lagrange multiplier test for additivity developed by Chen et al. (1995: test II). The function requires the acepack-library.

References

Chen, R., Liu, J.S. & Tsay, R.S. (1995) Additivity tests for nonlinear autoregression. Biometrika, 82, 369-383. Bjornstad, O.N., Begon, M., Stenseth, N.C., Falck, W., Sait, S.M., & Thompson, D.J. (1998) Population dynamics of the Indian meal moth: demographic stochasticity and delayed regulatory mechanisms. Journal of Animal Ecology, 67, 110-126.

Examples

Run this code
data(plodia)
     add.test(sqrt(plodia), order = 3)

Run the code above in your browser using DataLab