Modelling Structured Dynamical Systems in 'greta'

A 'greta' extension for analysing transition matrices and ordinary differential equations representing dynamical systems. Provides functions for analysing transition matrices by iteration, and solving ordinary differential equations. This is an extension to the 'greta' software, Golding (2019) .


greta.dynamics: Dynamical models in greta

R-CMD-check CRAN status codecov.io

greta.dynamics provides functions for modelling dynamical systems in greta. It currently provides functions for analysing transition matrices by iteration, and solving ordinary differential equations.

Installation

You can install the current release version of greta.dynamics from CRAN:

install.packages("greta.dynamics")

Or install the development version of greta.dynamics from r-universe:

install.packages("greta.dynamics", repos = c("https://greta-dev.r-universe.dev", "https://cran.r-project.org"))

You can also install the development version of greta.dynamics via GitHub:

remotes::install_github("greta-dev/greta.dynamics")

Reference manual

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install.packages("greta.dynamics")

0.2.3 by Nicholas Tierney, 3 months ago


https://github.com/greta-dev/greta.dynamics, https://greta-dev.github.io/greta.dynamics/


Report a bug at https://github.com/greta-dev/greta.dynamics/issues


Browse source code at https://github.com/cran/greta.dynamics


Authors: Nick Golding [aut, cph] (ORCID: , Nicholas Tierney [aut, cre] (ORCID:


Documentation:   PDF Manual  


Apache License (>= 2) license


Imports cli, glue, rlang, tensorflow

Depends on greta

Suggests covr, knitr, rmarkdown, spelling, testthat, deSolve, abind

System requirements: Python (>= 3.7.0) with header files and shared library; TensorFlow (>= v2.0.0; https://www.tensorflow.org/); TensorFlow Probability (v0.8.0; https://www.tensorflow.org/probability/)


See at CRAN