foreca.one_weightvector-utils: Plot, summary, and print methods for class...

In ForeCA: Forecastable Component Analysis

Plot, summary, and print methods for class 'foreca.one_weightvector'

Description

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).

Usage

## S3 method for class 'foreca.one_weightvector'
summary(object, lag = 10, alpha = 0.05, ...)

## S3 method for class 'foreca.one_weightvector'
plot(x, main = "", cex.lab = 1.1, ...)

Arguments

lag	integer; how many lags to test in Box.test; default: 10.
alpha	significance level for testing white noise in Box.test; default: 0.05.
...	additional arguments passed to plot, or summary.
x, object	an object of class "foreca.one_weightvector".
main	an overall title for the plot: see title.
cex.lab	size of the axes labels.

Examples

# see examples in 'foreca.one_weightvector'

ForeCA documentation built on Aug. 23, 2026, 9:09 a.m.