Bootstrap Methods for Network Inference

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Documentation for package ‘snowboot’ version 0.5.2

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artificial_networks 200 Simulated Networks of order 2000 with Polylogarithmic (0.1, 2) Degree Distributions
bootCI Build Bootstrap Confidence Intervals for p^_k
bootdeg Bootstrapping Empirical Degree Distribution
BparametersEst Summary of the Bootstrap Degree Distribution
cross_validation_mean A function that uses cross-validation to select seed-wave combination for estimation of a degree's frequency.
igraph_to_network Create a "Network" Object from an igraph Object
local.network.MR.new5 Construct Artificial Networks
LSMI Snowball sampling with multiple inclusion.
Oempdegreedistrib Obtaining an Empirical Network Degree Distribution from Labeled Snowball Sampling with Multiple Inclusion (LSMI).
sample_about_one_seed Snowball Sampling with Multiple Inclusion Around a Single Seed
summary_net Summary of a Network Degree Sequence
Union_LSMI Snowball sampling with multiple inclusion.
vertboot Bootstrapping a network with vertex bootstrap