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neuralsbi  

Neural Simulation-Based Inference
View on CRAN: Click here


Download and install neuralsbi package within the R console
Install from CRAN:
install.packages("neuralsbi")

Install from Github:
library("remotes")
install_github("cran/neuralsbi")

Install by package version:
library("remotes")
install_version("neuralsbi", "0.3.2")



Attach the package and use:
library("neuralsbi")
Maintained by
Pedro Nascimento de Lima
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-03
Latest Update: 2026-08-03
Description:
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.
How to cite:
Pedro Nascimento de Lima (2026). neuralsbi: Neural Simulation-Based Inference. R package version 0.3.2, https://cran.r-project.org/web/packages/neuralsbi. Accessed 05 Oct. 2026.
Previous versions and publish date:
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Complete documentation for neuralsbi
Functions, R codes and Examples using the neuralsbi R package
Full neuralsbi package functions and examples
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