Given an index (historical period and projected period) this function creates sparsity in the projected index to simulate varying frequency (intensity) of data collection.
doIfreq(I_hist, I_freq, LHYr, CurYr, Year)A thinned ector I_hist long of index observations.
Vector of real numbers, concatinated observed (historical) and simulated (projected) indices.
Positive integer. The frequency of index sampling (e.g. 1 is every year, 2 is every 2 years - a gap every 2 years in the projected, simulated data).
Positive integer, a year (e.g. 2023), the last historical year, demarks the historical period where observations have been collected from the projected period where sparsity is to be simulated.
Positive integer, a year (e.g. 2043), the most recent year of the simulation.
Vector of positive integers (as long as I_hist), the years corresponding with I_hist.
T. Carruthers