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

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