Make population distribution using Mistry et al. data
mk_mistry_Nvec(province = "ON", age_cat = NULL)
province for which to construct the matrix (if NULL, make a Canada-wide contact matrix)
(optional) list of age groups to aggregate ages in; use `mk_agecats()` to generate (must start with 0 and end with 84); default is single ages starting with 0 and up to 83, then a single 84+ category
a vector of population counts (one per age category)
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_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_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()
mk_mistry_Nvec()
#> [1] 135164 138093 139864 142418 141736 140690 140689 141366 140769 142846
#> [11] 145363 150086 151077 157190 160062 167394 169949 166838 168849 169875
#> [21] 169977 170554 165016 161003 162486 164884 163661 162809 164721 162908
#> [31] 165661 160889 159886 158462 162295 165417 169244 166448 169682 173026
#> [41] 183638 183001 184026 183330 186570 198452 210100 213540 215307 210920
#> [51] 212890 204568 197404 192988 187221 181643 180263 170596 163561 159249
#> [61] 157580 152923 149532 150536 150203 122426 115371 113108 107168 99563
#> [71] 94008 90903 86929 83049 77975 76662 71381 66101 64955 63276
#> [81] 61290 55772 52836 40586 216315