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.

Installation

Get the released version from CRAN:

install.packages("snowboot")

News

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

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("snowboot")

1.0.1 by Vyacheslav Lyubchich, 5 months ago


Browse source code at https://github.com/cran/snowboot


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