Package: Langevin 1.3.2

Philip Rinn

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.

Authors:Philip Rinn [aut, cre], Pedro G. Lind [aut], David Bastine [ctb]

Langevin_1.3.2.tar.gz
Langevin_1.3.2.tar.gz(r-4.5-noble)Langevin_1.3.2.tar.gz(r-4.4-noble)
Langevin_1.3.2.tgz(r-4.4-emscripten)Langevin_1.3.2.tgz(r-4.3-emscripten)
Langevin.pdf |Langevin.html
Langevin/json (API)

# InstallLangevin in R:
install.packages('Langevin',repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4 exports 0.00 score 2 dependencies 184 downloads

Last updated 4 days agofrom:4eef85ac46

Exports:Langevin1DLangevin2Dtimeseries1Dtimeseries2D

Dependencies:RcppRcppArmadillo

An Introduction to Modeling Markov Processes with the Langevin Approach

Rendered fromLangevin.Rnwusingutils::Sweaveon Jul 02 2024.

Last update: 2016-08-29
Started: 2015-08-26