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 |
Reference manual: | Langevin.pdf |
Vignettes: |
An Introduction to Modeling Markov Processes with the Langevin Approach |
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 |
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