find confidence envelopes by simulation
forecast_ensemble(
fit,
nsim = 200,
forecast_args = fit$forecast_args,
qvec = c(0.05, 0.5, 0.95),
qnames = c("lwr", "value", "upr"),
seed = NULL,
imp_wts = FALSE,
Sigma = bbmle::vcov(fit$mle2),
scale_Sigma = 1,
calc_Rt = FALSE,
fix_pars_re = "nb_disp",
raw_ensembles = FALSE,
parallel = FALSE,
n_cores = 4,
.progress = if (interactive()) "text" else "none"
)
output from calibrate
number of simulations
arguments to pass to forecast_sim
vector of quantiles: NULL to return an array (nt x nvars x nsims) instead of a tibble with date/var+ quantiles
quantile names
random-number seed
use importance weighting, i.e. weight ensemble based on log-likelihood?
covariance matrix to pass to pop_pred_samp
multiplier for covariance matrix
calculate and include R(t) in prediction/forecast?
a regular expression specifying the names of parameters that should be treated as fixed when constructing the parameter ensemble
(logical) return ensembles (FIXME: should implement return_type=c("array","quantiles","raw") (but not really raw, "dataframe"??))
whether to attempt parallel processing
number of cores for parallel forecasting (ignored if not parallel) (??)
progress bar?
Other classic_macpan:
add_d_log()
,
add_updated_vaxrate()
,
aggregate_agecats()
,
calibrate_comb()
,
calibrate()
,
check_age_cat_compatibility()
,
check_contact_rate_setting()
,
col_multiply()
,
condense_age()
,
condense_params_vax()
,
condense_state()
,
condense_vax()
,
dev_is_tikz()
,
do_step()
,
expand_params_age()
,
expand_params_desc_age()
,
expand_params_desc_variant()
,
expand_params_desc_vax()
,
expand_params_mistry()
,
expand_params_variant()
,
expand_params_vax()
,
expand_state_age()
,
expand_state_vax()
,
expand_stateval_testing()
,
fix_pars()
,
fix_stored()
,
forecast_sim()
,
getData()
,
get_GI_moments()
,
get_Gbar()
,
get_R0()
,
get_doses_per_day()
,
get_evec()
,
get_kernel_moments()
,
get_opt_pars()
,
get_r()
,
invlink_trans()
,
make_betavec()
,
make_beta()
,
make_jac()
,
make_ratemat()
,
make_state()
,
make_test_wtsvec()
,
make_vaxrate()
,
mk_Nvec()
,
mk_agecats()
,
mk_contact_rate_setting()
,
mk_mistry_Nvec()
,
mk_pmat()
,
mk_vaxcats()
,
mle_fun()
,
non_expanded_states
,
rExp()
,
read_params()
,
repair_names_age()
,
restore()
,
run_sim_ageify()
,
run_sim_break()
,
run_sim_loglin()
,
run_sim_mobility()
,
run_sim_range()
,
run_sim()
,
show_ratemat()
,
testify()
,
texify()
,
trans_state_vars()
,
update_contact_rate_setting()
,
update_foi()
,
update_params_mistry()
,
vis_model()
,
write_params()