Make lag matrix for iterated prediction — makelags

Creates a lag matrix that can be used for making iterated predictions. Runs makelags with specified parameters and forecast=TRUE, then appends nfore-1 empty rows for each pop with timesteps iterated by 1. Requires use of a dataframe and provision of column names.

makelags_iter(data, nfore, y, pop = NULL, E, tau, time, ...)

Arguments

data: A data frame
nfore: Number of steps to forecast
y: Vector of column names
pop: Column name for pop. Optional.
E: Embedding dimension. Required.
tau: Time delay. Required.
time: Column name for time. Required.
...: Additional arguments passed to makelags

Value

A data frame.

Examples

RHfore2pop=makelags_iter(nfore=50, data=RickerHarvest, 
  y=c("CPUE_index","Catch"), 
  time="Time", tau=1, E=1, pop="Region")