neuralsbi
0.3.2Neural Simulation-Based Inference
Overview
A native R implementation of neural simulation-based inference, focused on Neural Posterior Estimation. Given a prior over parameters and a simulator, 'neuralsbi' trains a conditional neural density estimator to approximate the Bayesian posterior, enabling amortized, likelihood-free inference. Neural estimators run on the 'torch' back end. It targets applied researchers who want an approachable interface with sensible defaults and built-in posterior diagnostics.
Install
Health
- OK2026-08-048 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 89%
- Return-value docs
- 100%
- References docs
- 3%
Downloads
Repository
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Repository practices
5 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/pedroliman/neuralsbi on 2026-08-09.
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
1 release. R releases are shown for context.
- 0.3.2Latest2026-08-03 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-08-03
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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Run in R for the authors' preferred citation:
citation("neuralsbi")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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