This package provides a framework for modelling and inferencing attachment mechanisms of temporal complex networks. The two main functionalities of the package are:
In addition, the package can quantify the remaining uncertainties by providing confidence intervals for the estimated results. We also provide flexible methods to generate a wide range of temporal networks based on PA and fitness.
The release version of the package is hosted on CRAN and can be installed in the usual way:
install.packages("PAFit")
This dev version on GitHub can be installed as follows:
require(devtools)
install_github("thongphamthe/PAFit@devel")
To get started, load the package
library("PAFit")
then work through the tutorial (link to the current CRAN version):
A version of this tutorial is published in Journal of Statistical Software:
The PAFit-oneshot method is described in this paper.
Please refer to the current version on CRAN:
You can view the html version, which has a better layout but renders mathematical symbols worse than the pdf version, if you use Rstudio
Please refer to the current version on CRAN:
Please refer to the citation information file (link to the current CRAN version):
GPL-3