S3 methods for the one weightvector optimization in ForeCA
(class "foreca.one_weightvector").
summary.foreca.one_weightvector computes summary statistics.
plot.foreca.one_weightvector shows the results of an (iterative)
algorithm that obtained the i-th optimal a weightvector
\(\mathbf{w}_i^*\). It
shows trace plots of the objective function and the weightvector, and a time series
plot of the transformed signal \(y_t^*\) along with its spectral density estimate
\(\widehat{f}_y(\omega_j)\).
# S3 method for foreca.one_weightvector
summary(object, lag = 10, alpha = 0.05, ...)# S3 method for foreca.one_weightvector
plot(x, main = "", cex.lab = 1.1, ...)
integer; how many lags to test in Box.test;
default: \(10\).
significance level for testing white noise in
Box.test; default: \(0.05\).
an object of class "foreca.one_weightvector".
an overall title for the plot: see title.
size of the axes labels.
# see examples in 'foreca.one_weightvector'
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