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

Website roadmap

Website roadmap

This page is the navigation contract for the Quarto site: a recommended linear reading path plus goal-oriented tracks.

Start Examples Package roadmap

Recommended path (first-time users)

Use this if you want a single, low-friction learning sequence.

  1. Orientation
    • Start hub
    • Roadmap (start section)
    • Usage diagrams (choose wrapper/fit/predict routes)
  2. First successful run
    • Start here
    • Basic compile and run
    • Backends and workflow map
  3. Template-based work
    • Examples hub (unconditional → conditional → causal → clustering)
  4. Model understanding
    • Advanced hub
    • Model umbrella
    • Theory background
  5. Exact interfaces
    • Reference hub
    • pkgdown API reference

Tracks (choose by goal)

Each track is a curated set of pages with explicit prerequisites and “next steps”.

  • Quickstart: Track: Quickstart
  • Modeling (1-arm): Track: Modeling
  • Causal: Track: Causal
  • Clustering: Track: Clustering
  • Kernels & tails: Track: Kernels
  • Customization: Track: Customization

Quarto vs pkgdown split (why two sites)

  • Quarto (this site): narrative, workflows, comparisons, and “how to think about choices”. It is optimized for reading and learning.
  • pkgdown: primary function signatures, arguments, return objects, and examples.

When in doubt: learn the workflow here, then confirm details in pkgdown.

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: Index
  • 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