weights_beta {sentometrics} | R Documentation |
Compute Beta weighting curves
Description
Computes Beta weighting curves as in Ghysels, Sinko and Valkanov (2007). Handy to self-select specific
time aggregation weighting schemes for input in ctr_agg
using the weights
argument.
Usage
weights_beta(n, a = 1:4, b = 1:4, do.normalize = TRUE)
Arguments
n |
a single |
a |
a |
b |
a |
do.normalize |
a |
Details
The Beta weighting abides by following formula:
f(i/n; a, b) / \sum_{i}(i/n; a, b)
, where i
is the lag index ordered
from 1 to n
, a
and b
are two decay parameters, and
f(x; a, b) = (x^{a - 1}(1 - x)^{b - 1}\Gamma(a + b)) / (\Gamma(a)\Gamma(b))
, where \Gamma(.)
is
the gamma
function.
Value
A data.frame
of beta weighting curves per combination of a
and b
. If n = 1
,
all weights are set to 1.
References
Ghysels, Sinko and Valkanov (2007). MIDAS regressions: Further results and new directions. Econometric Reviews 26, 53-90, doi: 10.1080/07474930600972467.