Skip to contents

Run a conditional poisson model with Spatial Bayesian inference

condPois_sb.Rd

https://mc-stan.org/docs/2_20/functions-reference/multinomial-distribution.html

Usage

condPois_sb(
  exposure_matrix,
  outcomes_tbl,
  shp_sf,
  stan_type = "laplace",
  use_spatial_model = "bym2",
  stan_opts = NULL,
  global_cen = NULL,
  argvar = NULL,
  arglag = NULL,
  maxlag = NULL,
  min_n = NULL,
  strata_min = 0,
  verbose = 0
)

Arguments

exposure_matrix

a matrix of exposures, with columns for lag, usually created by make_exposure_matrix

outcomes_tbl

a data.table of outcomes, created by make_outcome_table

shp_sf

a shapefile object describing the geo_units

stan_type

a choice of either laplace or sample

stan_opts

a list of parameters to send to stan

global_cen

a global centering point

argvar

a list containing the argvar components for the crossbasis

arglag

a list containing the arglag components for the crossbasis

maxlag

an integer of the maximum lag

min_n

an integer describing the minimum number of cases for a single region

strata_min

minimum number of cases per strata

verbose

whether to print geo_units as they are run

Examples