Description Usage Arguments Value
Functions to simulate example data
| 1 2 3 4 5 | sim_dgp(n, g = 0.8, h = 1, sd_2 = 1)
sim_dgp_est(n, g = 0.8, sd_2 = 1, presample = 50)
sim_dgp_quantiles(n, a = 0.05, tau1, tau2)
 | 
| n | nr of observations | 
| g | persistence parameter | 
| h | forecast horizon | 
| sd_2 | variance parameter, determines relative performance | 
| presample,  | number of presample observations | 
| a | quantile level | 
| tau1 | precision parameter for forecaster 1 | 
| tau2 | precision parameter for forecaster 2 | 
matrix of dimension (n x 3), containing forecasts (columns 1, 2) and realizations (column 3) from example process
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