Description Usage Arguments Value
Simulate predictive distributions from KCDE/copulas model; suitable for use
as the simulate_trajectories_function
argument to
get_log_scores_via_trajectory_simulation
.
1 2 | simulate_trajectories_kcde(n_sims, max_prediction_horizon, data, region,
analysis_time_season, analysis_time_season_week, params)
|
n_sims |
number of trajectories to simulate |
max_prediction_horizon |
how many steps ahead to simulate |
data |
data set |
region |
region |
analysis_time_season |
season in which we're predicting |
analysis_time_season_week |
week of the season in which we're making our predictions, using all data up to the analysis time to make predictions for later time points |
params |
other parameters. A list with the following entries: * n_kcde_sims = number of simulations from kcde predictive distributions; this is different from number of predictive trajectories * copula_save_path = path to directory where copula fits are stored * estimation_results_path = path to directory where kcde fits are stored * max_lag = character giving maximum lag value used in kcde fits * seasonality = logical giving whether a seasonal kernel was used in kcde * bw_parameterization = string giving parameterization of bandwidth in kcde fit * last_analysis_time_season_week = 41 |
an n_sims by h matrix with simulated values
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