Track: Quickstart

What you’ll get from this track

  • A first successful fit using wrapper-first functions.
  • A mental model of what objects you get back and which S3 methods to use next.
  • A clear handoff to examples once you’re unblocked.

Prerequisites

  • Comfortable running R code and installing dependencies.

Path

  1. Start here
  2. Basic compile and run
  3. Backends and workflow map
  4. Examples hub ## Next steps

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