Warning: package 'brms' was built under R version 4.4.1Warning: package 'tidybayes' was built under R version 4.4.1Five Parameters
We have explored the governors dataset to understand how different variables might relate to the outcome variable, lived_after, which measures the longevity of political candidates post-election. Key components include identifying potential covariates, treatments, and ensuring the validity of the data for accurate predictive modeling and analysis.
\[ lived\_after_i = \beta_0 + \beta_1 male_i + \beta_2 c\_election\_age_i + \\ \beta_3 male_i * c\_election\_age_i + \epsilon_i \]