do_step | R Documentation |
Take a single simulation time step
do_step(
state,
params,
ratemat,
dt = 1,
do_hazard = TRUE,
stoch_proc = FALSE,
do_exponential = FALSE,
testwt_scale = "N"
)
state |
named vector of states |
params |
named vector of parameters |
ratemat |
transition matrix |
dt |
time step (days) |
do_hazard |
use hazard calculation? |
stoch_proc |
stochastic process error? |
do_exponential |
prevent outflow of susceptibles, to create a pure-exponential process? |
testwt_scale |
how to scale testing weights? "none"=use original weights as specified; "N" = multiply by (pop size)/(sum(wts*state[u_pop])); "sum_u" = multiply by (sum(state[u_pop])/(sum(wts*state[u_pop]))) |
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()
,
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_ensemble()
,
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()
params1 <- read_params("ICU1.csv")
state1 <- make_state(params=params1)
M <- make_ratemat(params=params1, state=state1)
s1A <- do_step(state1,params1, M, stoch_proc=TRUE)
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