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Langevin: Langevin Analysis in One and Two Dimensions

Estimate drift and diffusion functions from time series and generate synthetic time series from given drift and diffusion coefficients.

Version:1.3.3
Depends:R (≥ 3.3.0)
Imports:Rcpp (≥ 1.0.12)
LinkingTo:Rcpp,RcppArmadillo (≥ 15.0.2-2)
Published:2025-10-12
DOI:10.32614/CRAN.package.Langevin
Author:Philip Rinn [aut, cre], Pedro G. Lind [aut], David Bastine [ctb]
Maintainer:Philip Rinn <philip.rinn at uni-oldenburg.de>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://gitlab.uni-oldenburg.de/TWiSt/Langevin
NeedsCompilation:yes
Citation:Langevin citation info
Materials:README,ChangeLog
CRAN checks:Langevin results

Documentation:

Reference manual:Langevin.html ,Langevin.pdf
Vignettes:An Introduction to Modeling Markov Processes with the Langevin Approach (source)

Downloads:

Package source: Langevin_1.3.3.tar.gz
Windows binaries: r-devel:Langevin_1.3.3.zip, r-release:Langevin_1.3.3.zip, r-oldrel:Langevin_1.3.3.zip
macOS binaries: r-release (arm64):Langevin_1.3.3.tgz, r-oldrel (arm64):Langevin_1.3.3.tgz, r-release (x86_64):Langevin_1.3.3.tgz, r-oldrel (x86_64):Langevin_1.3.3.tgz
Old sources: Langevin archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=Langevinto link to this page.


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