portmanteau_test_statistics

<p>the matrix of residuals or squared residuals.</p>

matrix

<p>See the paper of Ljung-Box test for the used definition of autocorrelation.</p>

Automatically find the best vector autoregression
models and networks for a given time series data set. 'AutovarCore'
evaluates eight kinds of models: models with and without log
transforming the data, lag 1 and lag 2 models, and models with and
without weekday dummy variables. For each of these 8 model configurations,
'AutovarCore' evaluates all possible combinations for including
outlier dummies (at 2.5x the standard deviation of the residuals)
and retains the best model. Model evaluation includes the Eigenvalue
stability test and a configurable set of residual tests. These eight
models are further reduced to four models because 'AutovarCore'
determines whether adding weekday dummies improves the model fit.

Ando Emerencia

portmanteau_test_statistics: An implementation of the portmanteau test.

Description

Usage

Arguments