BridgeStan

Plans and prices

Every plan, in full

On the record

Bayesian analysis

Yesroualdes.us · read 24 Sep 2026

Build requirements

Stan requires a C++14 compiler and GNU make on Unix-like systems or mingw32-make on Windows; Microsoft's compiler is unsupported on Windows.roualdes.us · read 8 Oct 2026

Customization

Compiler flags can be customized through make options or the make/local file, including optimization and Stan compiler flags.roualdes.us · read 8 Oct 2026

Data import formats

JSONroualdes.us · read 24 Sep 2026

Deployment

desktoproualdes.us · read 24 Sep 2026

Distribution

The source repository and released archives are available for download, and language packages can download BridgeStan sources when compiling a model.roualdes.us · read 8 Oct 2026

Hessian behavior

Hessians use central finite differences by default; nested autodiff can be enabled at compile time for models that support it.roualdes.us · read 8 Oct 2026

Installation

BridgeStan can be downloaded as a released source archive or cloned from GitHub, and requires a C++ toolchain and GNU Make.roualdes.us · read 8 Oct 2026

Intended users

The documentation describes researchers and library authors developing inference algorithms for arbitrary Stan models as its intended users.roualdes.us · read 8 Oct 2026

Language interfaces

BridgeStan has clients for Python, Julia, R, and Rust, plus a public C API.roualdes.us · read 8 Oct 2026

Model data

The Python interface accepts model data as a JSON string, a JSON file path, or a dictionary converted to JSON.roualdes.us · read 8 Oct 2026

Model methods

Its model interface exposes log densities, gradients, Hessians, and parameter constraining and unconstraining transforms.roualdes.us · read 8 Oct 2026

Parallelism

Threaded calls require enabling STAN_THREADS, and models with and without that setting should not be mixed in one process because this may cause crashes.roualdes.us · read 8 Oct 2026

Purpose

BridgeStan provides in-memory access to methods of Stan models for building inference algorithms in higher-level languages.roualdes.us · read 8 Oct 2026

Python package

The Python interface is available from PyPI as bridgestan and requires Python 3.9 or later and NumPy.roualdes.us · read 8 Oct 2026

Python requirements

The Python package requires Python 3.9 or newer and NumPy, and the system prerequisites still need to be installed separately.roualdes.us · read 8 Oct 2026

R distribution

BridgeStan is not available on CRAN but is mirrored by R-Multiverse and can also be installed from GitHub.roualdes.us · read 8 Oct 2026

Regression models

Noroualdes.us · read 24 Sep 2026

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