Add Covariates for Model Adjustment — add

Specify column names for adjustment variables in model matrix and prior distributions for the model parameters for these covariates (i.e., betas)

Usage

add_covariates(covariates, priors)

Arguments

covariates: character. Names of columns in the data matrix containing covariates to be adjusted for in the outcome model. Note: the external and treatment flags should not go here.
priors: Either a single object of class Prior specifying the prior distribution to apply to all covariates or a named list of distributions of class Prior, one for each covariate

Value

Object of class Covariates.

Examples

add_covariates(
  covariates = c("a", "b"),
  priors = list(
    "a" = normal_prior(0, 1),
    "b" = normal_prior(0, 2)
  )
)
#> Covariate object with priors for variables:
#> a, b 
#> 
#> Prior for a:
#> Normal Distribution
#> Parameters:
#>  Stan  R    Value
#>  mu    mean 0    
#>  sigma sd   1    
#> 
#> Prior for b:
#> Normal Distribution
#> Parameters:
#>  Stan  R    Value
#>  mu    mean 0    
#>  sigma sd   2    
#>