Initialize CAR model

Usage

initialize_model(
  name,
  dir = tempdir(),
  data,
  adjacency,
  inits = NULL,
  priors = NULL,
  model = c("mstcar", "ucar", "mcar"),
  method = c("binom", "pois"),
  m0 = 3,
  A = NULL,
  rho_up = FALSE,
  impute_lb = 1,
  impute_ub = 9,
  seed = 1234,
  .ignore_checks = FALSE
)

Arguments

name: Name of model and corresponding folder
dir: Directory where model will live
data: Dataset including mortality (Y) and population (n) information
adjacency: Dataset including adjacency information
inits: Optional list of initial conditions for each parameter
priors: Optional list of priors for updates
model: Run model as an MSTCAR/UCAR/MCAR model
method: Run model with either Binomial data or Poisson data
m0: Baseline neighbor count by region
A: Describes intensity of smoothing between regions
rho_up: Controls whether rho update is performed for MSTCAR models
impute_lb: If counts between lb and ub are suppressed for privacy reasons, impute_lb is lower bound
impute_ub: If counts between lb and ub are suppressed for privacy reasons, impute_ub is upper bound
seed: Set of random seeds to use for data replication
.ignore_checks: If set to TRUE, ignores data checks. Only use if you are certain that your input data is correct and you are encountering bugs during setup