Package: neuralsbi
Title: Neural Simulation-Based Inference
Version: 0.3.2
Authors@R: 
    person("Pedro", "Nascimento de Lima", email = "plima@rand.org",
           role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9057-198X"))
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.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, utils
Suggests: torch (>= 0.11.0), testthat (>= 3.0.0), knitr, rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://pedroliman.github.io/neuralsbi/,
        https://github.com/pedroliman/neuralsbi
BugReports: https://github.com/pedroliman/neuralsbi/issues
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-07-23 20:35:02 UTC; plima
Author: Pedro Nascimento de Lima [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-9057-198X>)
Maintainer: Pedro Nascimento de Lima <plima@rand.org>
Repository: CRAN
Date/Publication: 2026-08-03 18:10:07 UTC
Built: R 4.5.3; ; 2026-08-03 18:48:00 UTC; windows
