adaptivetau is a R package that implements adaptive tau leaping to approximate the trajectory of a continuous-time stochastic process as described by Cao et al. (2007) The Journal of Chemical Physics. The core of the algorithm is implemented in C++, so it is much more efficient than a pure-R implementation.
See NEWS file for package history; code was transferred from subversion to git in Apr 2024.
Install as any R package from CRAN using
install.packages("adaptivetau")If you want to install from this git repository, from the directory above this, first build an R package:
R CMD build adaptivetau
The resulting package will be named adaptivetau_XXX.tar.gz where XXX is replaced with the current R package version number found in the DESCRIPTION. This file can then be installed as with any local R package installed from source.
Usage information can be found in the vignette (which gets compiled into a PDF when the package is built) and R help pages.
Developers or users reporting bugs/feature requests shoulds create an issue on github.