wplot

An integer that is the number of levels the range of w-correlation values will be divided into.

cuts

This function displays a plot of the weighted-correlation (w-correlation) matrix of functional time series (<code><a rd-options="" href="/link/fts?package=Rfssa&version=2.0.0" data-mini-rdoc="Rfssa::fts">fts</a></code>) objects that were reconstructed
from functional singular spectrum analysis (<code><a rd-options="" href="/link/fssa?package=Rfssa&version=2.0.0" data-mini-rdoc="Rfssa::fssa">fssa</a></code>) objects.

Methods and tools for implementing univariate and multivariate functional singular spectrum analysis for functional time series whose variables might be observed over different dimensional domains. The univariate fssa algorithm is described in Haghbin H., Najibi, S.M., Mahmoudvand R., Trinka J., Maadooliat M. (2021) and the multivariate fssa over different dimensional domains technique may be found in Trinka J., Haghbin H., and Maadooliat M. (Accepted). In addition, one may perform forecasting of univariate and multivariate fts whose variables are observed over one-dimensional domains as described in the dissertation of Trinka J. (2021) and the manuscript of Trinka J., Haghbin H., Maadooliat M. (2020) where the manuscript is to be submitted to a journal for publication.

Hossein Haghbin

Rfssa

Functional Singular Spectrum Analysis

Jordan Trinka

Seyed Morteza Najibi

Mehdi Maadooliat

wplot function

This function displays a plot of the weighted-correlation (w-correlation) matrix of functional time series (<code><a rd-options='' href='fts'>fts</a></code>) objects that were reconstructed
from functional singular spectrum analysis (<code><a rd-options='' href='fssa'>fssa</a></code>) objects.

wplot: Weighted-Correlations Plot

Description

Usage

Arguments

See Also