Prepare covariates for prediction — prepare

Centers numeric covariates as required by the model.

Usage

prepare_covariates(raw, model)

Arguments

raw: List or data frame of raw covariate values.
model: A capturetb::JAGSModel object.

Value

A tibble::tibble() with class 'capturetbdata' suitable for input JAGSModel's $predict(), and $performance() methods.

Examples

mod <- unitcost()
#> Multiple outputs detected. Including output-level random effects in model.
prepare_covariates(
  raw = list(
    public = 1,
    urban = 0,
    healthcentre = 0,
    primary = 0,
    secondary = 1,
    tertiary = 0,
    logVisits = 6.9,
    fc_country = "Ethiopia",
    output = "op_treatmentvisit"
  ),
  model = mod
)
#> # A tibble: 1 × 9
#>   public urban healthcentre primary secondary tertiary logVisits[,1] fc_country
#>    <dbl> <dbl>        <dbl>   <dbl>     <dbl>    <dbl>         <dbl> <chr>     
#> 1      1     0            0       0         1        0         -3.67 Ethiopia  
#> # ℹ 1 more variable: output <chr>