pbsSimplex: Forecast via Simplex Projection

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

Forecast via Simplex Projection

Description

Forecast via Simplex Projection

Usage

pbsSimplex(
  N,
  E = 1:10,
  p = 1L,
  first_difference = FALSE,
  centre_and_scale = FALSE,
  verbose = FALSE
)

Arguments

N	[data.frame()] or [numeric()] Response variable time series as first column or as a vector.
E	[integer()] Vector of embedding dimensions.
p	[integer()] Scalar forecast distance.
first_difference	[logical()] First-difference the time series
centre_and_scale	[logical()] Centre and scale the time series?
verbose	[logical()] Print progress?

Value

A list of class pbsSimplex

Author(s)

Luke A. Rogers

Examples

N <- data.frame(x = 1:30)
s1 <- pbsSimplex(N)

N <- data.frame(x = simple_ts)
s2 <- pbsSimplex(N)

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