FitBothMandC {cassandRa}

Fit Matching-Centrality Model

Description

Fit a model that contains both a trait-matching and a centrality term based on Rohr et al. (2016)

Usage

FitBothMandC(list, N_runs = 10, maxit = 10000,
  method = "Nelder-Mead", ExtraSettings = NULL)

Arguments

list

Network List

N_runs

Number of different start points for k2 and lambda to try. The best (maximum likelihood) half will be used to construct the probability matrix

maxit

Default = 10'000

method

Passed to optim, default = 'Nelder-Mead'

ExtraSettings

Other control settings to pass to optim()

Value

Network list with added 'B_par',the best fitting parameters, 'M_ProbsMatrix', the probability matrix

References

Rohr, R.P., Naisbit, R.E., Mazza, C. & Bersier, L.-F. (2016). Matching-centrality decomposition and the forecasting of new links in networks. Proc. R. Soc. B Biol. Sci., 283, 20152702