/Bayesian-Data-Analysis-of-Titanic-Dataset

A project that predict the survival rate of Titanic using Bayesian data analysis with R.

Primary LanguageR

Project goal is to predict the survival rate of Titanic based on multiple passenger variables .

Use R library Brms to generate stan codes of 3 models:

  1. Non-hierarchical model with variables: Sex, Age, P-Class
  2. Non-hierarchical model with all variables
  3. Hierarchical model with respect to group Sex and Age given P-Class.

Project contains:

  • sensitivity checking with uninformative prior, Normal(0,1e6)and default student's t prior generated by brms.

  • Convergence diagnostics (R-hat, k-value, divergence)

  • Posterior predictive analysis

  • Model comparison (with loo)

Reference:

Kaggle Predicting Titanic Survival

R labrary brms