calc_adaptive_expectation: Compute autoregressive model for expectation
In JGCRI/gcamland: GCAM Land Allocation Module

This function computes expectation (generally for price or yield) as an autoregressive function of the price time series.

y_i = α y_{i-1} + (1-α) x_i

1	calc_adaptive_expectation(t, alpha, datatbl, colname)

`t`	The current year, for which we wish to calculate the expected price.
`alpha`	Coefficient of previous year term in the autoregressive series.
`datatbl`	Table of price vs. year. This series is assumed not to have any gaps in it and to be in year order, but neither of these conditions are checked.
`colname`	Name of the column that has the data for which we are computing the expectation (e.g. `'price'`)

There is some dispute over what the final term in this series should be. In this implementation the final term is just like all the others; therefore, for α = 0 this formula reduces to y_i = x_i, the equivalent of perfect expectation.

This function is not currently vectorized; a separate call is needed for each value of t.

JGCRI/gcamland documentation built on Oct. 6, 2020, 5:30 p.m.