CausalMixGPD
  • Home
  • Roadmaps
    • Website roadmap
    • Package roadmap
  • Start
    • Start Hub
    • Roadmap
    • Usage Diagrams
    • Start Here
    • Basic Compile and Run
    • Backends and Workflow
    • Troubleshooting
  • Tracks
    • Quickstart
    • Modeling (1-arm)
    • Causal
    • Clustering
    • Kernels & tails
    • Customization
  • Examples
  • Kernels
  • Advanced
  • Developers
  • Reference
    • Reference hub
    • Function reference by job
  • News
  • Cite
  • Coverage
  • API Reference

Start

Start Hub

Follow this order for your first successful workflow.

Start here Roadmap Examples hub

What this section is for

Use the Start section to (i) get a first run working, (ii) understand what objects you receive from the wrapper-first interface, and (iii) learn the package’s “build → fit → diagnose → predict” loop.

If you are already comfortable with the workflow, jump directly to the Examples hub and treat each example as a runnable template.

Reading order

  1. Roadmap
  2. Usage diagrams
  3. Start here
  4. Basic model compile and run
  5. Backends and workflow
  6. Troubleshooting

Tracks that start here

  • Track: Quickstart
  • Track: Modeling (one-arm)

Cross-links

  • Examples hub
  • Reference hub
  • API reference

Prereqs

  • Required packages and data for this page are listed in the setup chunks above.

Outputs

  • This page renders model fits, diagnostics, and summary artifacts generated by package APIs.

Interpretation

  • Canonical concept page: Start Here
  • Treat this page as an application/example view and use the canonical page for core definitions.

Next

  • Continue to the linked canonical concept page, then return for implementation-specific details.
(c) CausalMixGPD - Bayesian semiparametric modeling for heavy-tailed data
- - Cite - API - GitHub