create_jags_model: Create an JAGS model for Bayesian sensitivity analysis

In causens: Perform Causal Sensitivity Analyses Using Various Statistical Methods

Create an JAGS model for Bayesian sensitivity analysis

Description

Creates a JAGS model available as a string, or .txt file, where priors are initialized to be uninformative by default.

Usage

create_jags_model(binary_outcome, beta_uy, alpha_uz)

Arguments

binary_outcome	Boolean indicating whether the outcome is binary.
beta_uy	Prior distribution for the effect of the missing confounder U on the outcome Y.
alpha_uz	Prior distribution for the effect of the missing confounder U on the treatment assignment mechanism Z. No inputs are given to this function (for now) since data-related information is provided in jags.model() during model initialization.

causens documentation built on June 8, 2025, 10:03 a.m.