Bootstrap Methods for Network Inference

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.

snowboot is a package for non-parameteric analysis of network data. The methods are centered around snowball sampling and bootstrap estimation.


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snowboot 1.0.0

The latest update standardizes naming convention and fixes bugs.

Major Changes

Streamlined and simplified functions related to LSMI sampling, estimation, bootstrap, and overall cross-validation (not functions related to igraph, vertboot, or network construction).

Added an S3 method plot.snowboot for plotting results of LSMI sample estimation and bootstrap.

Changes to object names.

  • Camel-case and "." convention replaced with lowercase and "_" between words.

Note that the version 1.0.0 is not backward-compatible.

Reference manual

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1.0.1 by Vyacheslav Lyubchich, a month ago

Browse source code at

Authors: Leticia Ramirez-Ramirez [aut] , Kusha Nezafati [aut] , Yuzhou Chen [aut] , Vyacheslav Lyubchich [aut, cre] , Yulia R. Gel [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports graphics, igraph, parallel, Rcpp, Rdpack, stats, VGAM

Linking to Rcpp

See at CRAN