SlicTranspilerStanBlocks → Stan
Spotlight
StanBlocks.jl ↗

SLIC function definition

32 lines · 946 chars
Define a Stan function — annotate argument types or choose them below.
Regular Julia script
using StanBlocks

@deffun begin
end
Edit one name(x, s::real) = … definition; the fixed @deffun harness is display-only and Copy script includes it. Bare args use the preview selectors; source annotations win. ⌘/Ctrl+Enter to transpile.

Shared source ready

• ready loaded from the URL without executing
Transpiling function and checking the generated Stan…
This shared source has not run. Review it, then transpile when ready.

Using SlicTranspiler

StanBlocks (SLIC) → Stan, in the browser

What this does

SlicTranspiler turns editable Julia/StanBlocks source into Stan, checks the generated program with stanc, and keeps source and output side by side. Most prepared Library examples transpile as soon as you open them; large workspaces and shared links stay review-first until you choose Transpile.

The workbench

  • Compose data, functions, anonymous submodels and endpoint models in one copyable Julia script. Section summaries keep their global line ranges visible while collapsed; Data starts collapsed.
  • Arrange the source and generated-code panes with the center divider. Drag it, focus it and use the arrow keys, or use its edge buttons to collapse either pane completely; your layout stays in this browser.
  • Edit the bluish-outlined code in place. Binding names live in the code itself, so there is no second label to drift out of sync.
  • Transpile an endpoint with its button or ⌘/Ctrl + Enter; the Stan program and its stanc result appear on the right and that endpoint is highlighted.
  • The Function tab transpiles a single @deffun into its emitted Stan function.
  • The Library collects runnable examples and a guided Model spotlight; call any Library function by name.
  • Share builds a link that reopens the editor with your source.

SLIC in a nutshell

y ~ normal(mu, sigma)
A ~ statement — a prior on a parameter, or a likelihood when the left side is data.
mu = alpha + beta * x
An = assignment — a deterministic transform.
beta::vector[k] ~ normal(0, 1)
A typed declaration. Left bare (beta::vector[k]) it becomes a flat-prior parameter.
No loops or if in a model body
Control flow lives in a @deffun Stan function (the Function tab); the model calls it straight-line.
theta ~ plate(y; outer=N) do yi … end
The one sampling loop — a fresh parameter and observation per group.
Submodels
Name a reusable fragment and pass its inputs by keyword: eta ~ regression(; x).
Observations
weighted, truncated, censored and interval_censored wrap a family; missing outcomes are imputed automatically.

Try a Spotlight model

These prepared examples open editable and already transpiled:

Browse every prepared source in the Library.

StanBlocks documentation ↗

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