R: Bootstrap Methods for Network Inference

# Bootstrap Methods for Network Inference

## Documentation for package ‘snowboot’ version 1.0.2

- DESCRIPTION file
- Package NEWS

## Help Pages

artificial_networks | 10 Simulated Networks of Order 2000 with Polylogarithmic (0.1, 2) Degree Distributions
boot_ci | Confidence Intervals from Bootstrapped Network Degree Distribution
boot_dd | Bootstrapping Empirical Degree Distribution
igraph_to_network | Create a "Network" Object from an igraph Object
lsmi | Labeled Snowball with Multiple Inclusions (LSMI)
lsmi_cv | Cross-validation to Select an Optimal Combination of n.seed and n.wave
lsmi_dd | Network Degree Distribution Estimated from Labeled Snowball Sample with Multiple Inclusion (LSMI)
lsmi_union | Snowball Sampling with Multiple Inclusions around Several Subsets of Seeds
plot.snowboot | Plot Degree Distribution Estimates
random_network | Construct Artificial Networks
sample_about_one_seed | Snowball Sampling with Multiple Inclusions around One Network Node
vertboot | Bootstrapping a Network with Vertex Bootstrap