View source: R/generic_functions.R
This function finds the best K of an estimated GARCH-MIDAS model
1 | caculate_llh(data, y, x, freq = "month", K.seq = c(6:48))
|
data |
data frame containing a column named date of type 'Date'. |
y |
name of high frequency dependent variable in df. |
x |
covariate employed in GarchMidas. |
freq |
a string of the low frequency variable in the df. |
K.seq |
an integer sequence specifying lag length K in the long-term component. |
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