predicted {bayesdfa} | R Documentation |
Pass in rstanfit
model object. Returns array of predictions, dimensioned
number of MCMC draws x number of MCMC chains x time series length x number of time series
predicted(fitted_model)
fitted_model |
Samples extracted (with |
## Not run: set.seed(42) s <- sim_dfa(num_trends = 1, num_years = 20, num_ts = 3) # only 1 chain and 1000 iterations used so example runs quickly: m <- fit_dfa(y = s$y_sim, iter = 2000, chains = 3, num_trends = 1) pred <- predicted(m) ## End(Not run)