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Getting started

EDA, first fit, forest plots, and decision prompts

Getting started with spsurv

Model families

Veteran EDA, PH/PO/AFT survival overlays, and AIC commentary

Choosing PH, PO, and AFT models

Bernstein polynomial

Event-time EDA, baseline overlays, and kappa stability

Bernstein polynomial degree and baseline plots

Survival curves

KM vs model overlay, ribbons, and ggplot workflows

Survival prediction and ggplot workflows

MLE inference

Forest plots, criterion comparison, and df interpretation

Inference and model comparison (MLE)

Bayesian analysis

Posterior forests, MLE vs Bayes comparison, and convergence

Bayesian analysis with Stan

Diagnostics

Martingale, Cox-Snell calibration, deviance, and decision table

Model checking and residuals

tidymodels

parsnip engines, workflows, and tidybayes draws

tidymodels and tidybayes integration