Obtains the orders p, q, P and Q of the best ARIMA (p, d, q)x(P, D, Q)_s according one of the following information criteria: AIC, AICC, BIC.
It allows ARIMAs with both constant term and differentiation (d+D!=0), besides the ordinary cases.


internal

best.arima

This package provides statistical inference tools applied to Partial Linear Regression (PLR)
models. Specifically, point estimation, confidence intervals estimation, bandwidth selection, goodness-of-fit tests and analysis of
covariance are considered.
Kernel-based methods, combined with ordinary least squares estimation, are used and time series
errors are allowed. In addition, these techniques are also implemented for both parametric (linear)
and nonparametric regression models.

best.arima: Best Arima model according some information criterion

Description

Usage

Arguments