tsnet_rn

Maximum distance between two phase-space
points to be considered a recurrence.

radius

Integer denoting the dimension in which
we shall embed the time.series. If missing, the embedding
dimensions is estimated using `estimateEmbeddingDim()` from
nonlinearTseries. The constructed igraph network has
the estimated dimension (and other info) as a parameter.
For example: net$embedding_dim

embedding.dim

Integer denoting the number of time steps that
will be use to construct the Takens' vectors.

time.lag

Boolean. Show recurrence plot (default = FALSE)

do.plot

Other parameters to `rqa()` from nonlinearTseries

This function constructs the recurrence matrix of the time
series using the function `rqa()` from nonlinearTseries
package.

Transforming one or multiple time series into networks. This package is
useful for complex systems modeling, time series data mining, or time series analysis using networks.
An introduction to the topic and the descriptions of the methods implemented
in this package can be found in Mitchell (2006) <doi:10.1016/j.artint.2006.10.002>,
Silva and Zhao (2016) <doi:10.1007/978-3-319-17290-3>, and Silva et al. (2021) <doi:10.1002/widm.1404>.

tsnet_rn: Construct the recurrence network from a time series.

Description

Usage

Arguments

Value