Chapter 1
Getting Started
Purpose
Onboard a new user from install to first successful dsambayesplus run, then point them into the workflow guidance needed for serious modelling use.
Audience
- New dsambayesplus users.
- Analysts running dsambayesplus through R scripts or CLI.
Recommended route
- Install and update the R package for R API use; use Install and Setup or Windows / RStudio setup for repository runners
- Concepts
- Your First BLM Model or Your First Hierarchical Model
- Quickstart (YAML Runner)
- FAQ
- Principled Bayesian Workflow
If you are coming from classical econometrics, read Frequentist to Bayesian Translation before customising priors or interpreting diagnostics.
Pages
| Page | Topic |
|---|---|
| Install and update the R package | Explicit release updates, personal credentials and project version management |
| Install and Setup | Prerequisites, installation commands, and verification |
| Install and Setup (Windows / RStudio) | Setup guidance for admin-restricted Windows machines running RStudio |
| Concepts | What dsambayesplus does and how Bayesian MMM differs from classical regression |
| Your First BLM Model | Build, fit, and interpret a single-market model using the R API |
| Your First Hierarchical Model | Multi-market model with partial pooling and CRE |
| Quickstart (YAML Runner) | Minimal end-to-end CLI run from config to output inspection |
| FAQ | Answers to common questions |
Use Getting Started for setup, not for the whole methodology
The Getting Started pages are intentionally practical. Once you can run the package, use the workflow section to answer the two questions that matter most in Bayesian MMM:
- how should I think about priors?
- which diagnostics matter before I trust outputs?