add_covariates: Add Covariates for Model Adjustment

In psborrow2: Bayesian Dynamic Borrowing Analysis and Simulation

Add Covariates for Model Adjustment

Description

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" = prior_normal(0, 1),
    "b" = prior_normal(0, 2)
  )
)

psborrow2 documentation built on April 4, 2025, 12:37 a.m.