print_glm_bayes_joint_binomial_suggestion {catalytic} | R Documentation |
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
)
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. |
Value
NULL. The function prints suggestions to the console based on the model diagnostics.
[Package catalytic version 0.1.0 Index]