est_naloxone_vec {bennu}  R Documentation 
Run Bayesian estimation of naloxone number underreporting
Description
Samples from Bayesian model
Usage
est_naloxone_vec(
N_region,
N_t,
N_distributed,
regions,
times,
Orders2D,
Reported_Distributed,
Reported_Used,
region_name,
psi_vec = c(0.7, 0.2, 0.1),
max_delays = 3,
delay_alpha = 2,
delay_beta = 1,
run_estimation = TRUE,
rw_type = 1,
chains = 4,
iter = 2000,
seed = 42,
adapt_delta = 0.85,
...
)
Arguments
N_region 
Number of regions 
N_t 
number of time steps 
N_distributed 
Number of samples of reporting for distribution of kits 
regions 
vector (time, region) of regions (coded 1 to N_region) 
times 
vector (time, region) of regions (coded 1 to N_t) 
Orders2D 
vector (time, region) of orders 
Reported_Distributed 
vector (time, region) reported as distributed 
Reported_Used 
vector (time, region) reported as used 
region_name 
bring in region names 
psi_vec 
reporting delay distribution 
max_delays 
maximum delay from kit ordered to kit distributed 
delay_alpha 
shape parameter for order to distributed delay distribution 
delay_beta 
shape parameter for order to distributed delay distribution 
run_estimation 
if 
rw_type 

chains 
A positive integer specifying the number of Markov chains. The default is 4. 
iter 
A positive integer specifying the number of iterations for each chain (including warmup). The default is 2000. 
seed 
Seed for random number generation 
adapt_delta 
(double, between 0 and 1, defaults to 0.8) 
... 
other parameters to pass to rstan::sampling 
Value
An S4 rstan::stanfit class object containing the fitted model
See Also
Other inference:
est_naloxone()