catalytic (version 0.1.0)

print_glm_bayes_joint_binomial_suggestion: Generate Suggestions for Bayesian Joint Binomial GLM Parameter Estimation

Description

This function provides suggestions for improving the parameter estimation process in Bayesian joint Binomial GLM modeling based on the diagnostic output from a Stan model. It evaluates the results and suggests adjustments to improve model fit and convergence.

Usage

print_glm_bayes_joint_binomial_suggestion(
  alpha,
  stan_iter,
  stan_sample_model,
  binomial_joint_theta,
  binomial_joint_alpha,
  binomial_tau_lower
)

Value

NULL. The function prints suggestions to the console based on the model diagnostics.

Arguments

alpha

Numeric. The alpha parameter used in the prior distribution.

stan_iter

Integer. The number of iterations used in Stan sampling.

stan_sample_model

Stan model object containing sampling results.

binomial_joint_theta

Logical. Whether to use theta in the binomial model.

binomial_joint_alpha

Logical. Whether to use joint alpha in the binomial model.

binomial_tau_lower

Numeric. The lower bound for tau in the binomial model.