# Bootstrap Methods for Network Inference

## Documentation for package ‘snowboot’ version 0.5.2

- DESCRIPTION file.

## Help Pages

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