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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: 1.3.2
Depends: R (≥ 3.0.2)
Imports: Rcpp (≥ 0.11.0)
LinkingTo: Rcpp, RcppArmadillo (≥ 0.4.600.0)
Published: 2024-07-01
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.pdf
Vignettes: An Introduction to Modeling Markov Processes with the Langevin Approach

Downloads:

Package source: Langevin_1.3.2.tar.gz
Windows binaries: r-devel: Langevin_1.3.2.zip, r-release: Langevin_1.3.2.zip, r-oldrel: Langevin_1.3.2.zip
macOS binaries: r-release (arm64): Langevin_1.3.2.tgz, r-oldrel (arm64): Langevin_1.3.2.tgz, r-release (x86_64): Langevin_1.3.2.tgz, r-oldrel (x86_64): Langevin_1.3.2.tgz
Old sources: Langevin archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Langevin 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.