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Estimate drift and diffusion functions from time series and generate synthetic time series from given drift and diffusion coefficients.
| Version: | 1.3.1 |
| Depends: | R (≥ 3.0.2) |
| Imports: | Rcpp (≥ 0.11.0) |
| LinkingTo: | Rcpp, RcppArmadillo (≥ 0.4.600.0) |
| Published: | 2021-10-19 |
| 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_1.3.1.tar.gz |
| Windows binaries: | r-devel: Langevin_1.3.1.zip, r-release: Langevin_1.3.1.zip, r-oldrel: Langevin_1.3.1.zip |
| macOS binaries: | r-release (arm64): Langevin_1.3.1.tgz, r-oldrel (arm64): Langevin_1.3.1.tgz, r-release (x86_64): Langevin_1.3.1.tgz, r-oldrel (x86_64): Langevin_1.3.1.tgz |
| Old sources: | Langevin archive |
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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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