Bootstrap Methods for Network Inference
Confidence Intervals from Bootstrapped Network Degree Distribution
Bootstrapping Empirical Degree Distribution
Create a "Network" Object from an igraph Object
Labeled Snowball with Multiple Inclusions (LSMI)
Cross-validation to Select an Optimal Combination of n.seed and n.wave
Network Degree Distribution Estimated from Labeled Snowball Sample wit...
Snowball Sampling with Multiple Inclusions around Several Subsets of S...
Plot Degree Distribution Estimates
Construct Artificial Networks
Snowball Sampling with Multiple Inclusions around One Network Node
Bootstrapping a Network with Vertex Bootstrap
Functions for analysis of network objects, which are imported or simulated by the package. The non-parametric methods of analysis center on snowball and bootstrap sampling for estimating functions of network degree distribution. For other parameters of interest, see, e.g., 'bootnet' package.