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)

# Install 'Langevin' 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.

openblascppopenmp

3.00 score 6 scripts 269 downloads 2 mentions 4 exports 2 dependencies

Last updated 5 months agofrom:4eef85ac46. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-linux-x86_64OKNov 29 2024

Exports:Langevin1DLangevin2Dtimeseries1Dtimeseries2D

Dependencies:RcppRcppArmadillo

An Introduction to Modeling Markov Processes with the Langevin Approach

Rendered fromLangevin.Rnwusingutils::Sweaveon Nov 29 2024.

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