get_residuals_wrapper: r function to get waxman, erdos and PA residuals

In jonotuke/graphResiduals: Calculates sampled residuals for random networks

Description

takes a pairwise distance matrix - negative distance represent edges and produces residuals.

Usage

get_residuals_wrapper(dist, p, q, s, PA_model = NULL, sample_size = NULL,
  n_samples)

Arguments

dist	pairwise distance matrix
p	erdos probability
q	waxman parameter
s	waxman parameter
PA_model	empirical model that gives prob for given node age if NULL does not calculate
sample_size	size of sample subgraph, if null calculates using formula in paper
n_samples	number of residuals to obtain

Details

For erdos it needs p, for waxman it needs s and q, for Barabasi it needs empirical function between node age and prob of an edge

Value

data frame of residuals

jonotuke/graphResiduals documentation built on May 19, 2019, 8:37 p.m.