R/ageify.R
mk_pmat.Rd
generate a contact matrix (where each row is a probability distribution)
mk_pmat(age_cat = mk_agecats(), dist = "unif", Nvec = NULL)
age categories (made with `mk_agecats()`)
(character) either "unif" for uniform, "rand" for a random distributions by age, or "diag" for strictly within-age mixing (pmat = the identity matrix)
population distribution vector (needed to generate a "balanced" random contact probability matrix if population distribution isn't perfectly uniform)
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_mistry_Nvec()
,
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()