Computes Almon polynomial weighting curves. Handy to self-select specific time aggregation weighting schemes
for input in ctr_agg using the weights argument.
weights_almon(n, orders = 1:3, do.inverse = TRUE,
do.normalize = TRUE)a single numeric to indicate the lag length (cf., n).
a numeric vector as the sequence of the Almon orders (cf., b). The maximum value
corresponds to B.
TRUE if the inverse Almon polynomials should be calculated as well.
TRUE if polynomials should be normalized to unity.
A data.frame of all Almon polynomial weighting curves, of size length(orders) (times two if
do.inverse = TRUE).
The Almon polynomial formula implemented is: \((1 - (1 - i/n)^{b})(1 - i/n)^{B - b}\), where \(i\) is the lag index ordered from 1 to \(n\). The inverse is computed by changing \(i/n\) to \(1 - i/n\).