pbsSSR: Create State Space Reconstruction Matrix

In luke-a-rogers/pbsedm: An R package to implement some of the methods of empirical dynamic modelling

Create State Space Reconstruction Matrix

Description

Create State Space Reconstruction Matrix

Usage

pbsSSR(N, lags, p = 1L, first_difference = FALSE, centre_and_scale = FALSE)

Arguments

N	[vector()], [matrix()] or [data.frame()] of time series for the response variable and covariate time series. Elements must be [numeric()]. If present, columns must have [colnames()] matching names(lags).
lags	[list()] of named integer vectors specifying the lags to use for each time series in N.
p	[integer()] The forecast distance.
first_difference	[logical()] First-difference each time series?
centre_and_scale	[logical()] Centre and scale each time series?

Value

[matrix()] State space reconstruction.

luke-a-rogers/pbsedm documentation built on June 3, 2024, 5:20 a.m.