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rareflow: Variational Flow-Based Inference for Rare Events and Large Deviations

Variational flow-based methods for modeling rare events using Kullback–Leibler (KL) divergence, normalizing flows, Girsanov change of measure, and Freidlin–Wentzell action functionals. The package provides tools for rare-event inference, minimum-action paths, and quasi-potential computation in stochastic dynamical systems. Methods are based on Rezende and Mohamed (2015) <doi:10.48550/arXiv.1505.05770>, Girsanov (1960) <doi:10.1137/1105027>, and Freidlin and Wentzell (2012, ISBN:978-0387955477).

Version: 0.1.0
Suggests: knitr, rmarkdown, ggplot2, gganimate, testthat (≥ 3.0.0)
Published: 2026-02-13
DOI: 10.32614/CRAN.package.rareflow (may not be active yet)
Author: Pietro Piu [aut, cre]
Maintainer: Pietro Piu <pietro.piu.si at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: rareflow results

Documentation:

Reference manual: rareflow.html , rareflow.pdf
Vignettes: rareflow: Normalizing Flows for Rare-Event Inference (source, R code)

Downloads:

Package source: rareflow_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): rareflow_0.1.0.tgz, r-oldrel (arm64): rareflow_0.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=rareflow to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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