PAFit (

0 users

Modelling and Inferencing Attachment Mechanisms of Temporal Complex Networks.

A framework for modelling and inferencing attachment mechanisms of temporal complex networks is implemented in this package. For estimating the preferential attachment (PA) function in isolation, we implement Jeong's method, the corrected Newman's method and the PAFit method. For jointly estimating the PA function and node fitnesses, we implement the PAFit method. The package also provides flexible methods to generate a wide range of temporal networks based on PA and fitness.

Maintainer: Thong Pham
Author(s): Thong Pham, Paul Sheridan, Hidetoshi Shimodaira

License: GPL-3

Uses: magicaxis, MASS, RColorBrewer, Rcpp, VGAM, R.rsp

Released 17 days ago.

8 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of PAFit yet. Want to be the first? Write one now.

Related packages: MCMCglmm, tnet, nnet, Amelia, BMA, Hmisc, MNP, MatchIt, Matching, PSAgraphics, VGAM, Zelig, acepack, aod, arm, betareg, biglm, boot, bootstrap, car(20 best matches, based on common tags.)

Search for PAFit on google, google scholar, r-help, r-devel.

Visit PAFit on R Graphical Manual.