itsoukal/anySim: Stochastic Simulation of Processes with any Marginal Distribution and Correlation Structure

anySim is an R package for the stochastic simulation of processes with any marginal distribution and dependence structure. Currently, the package provides models for the simulation of univariate stationary and cyclostationary processes, exhibiting continuous, discrete and mixed-type marginal distributions as well as any valid (i.e., positive definite) short-range or long-range autocorrelation structure. Furthermore, it implements a multivariate stationary stochastic model with similar capabilities, preserving also the lag-0 crosscorrelation coefficients among the processes. The package can be used for the generation of synthetic time series (e.g., rainfall, runoff, temperature, wind speed etc.) with the desired marginal and stochastic properties.

Getting started

Package details

AuthorIoannis Tsoukalas [aut, cre, ctb], Panagiotis Kossieris [aut, ctb]
MaintainerIoannis Tsoukalas <itsoukal@mail.ntua.gr>
LicenseGPL-3
Version0.1.0
URL www.itia.ntua.gr/en/softinfo/33/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("itsoukal/anySim")
itsoukal/anySim documentation built on May 7, 2020, 11:57 p.m.