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snowboot

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")

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Version

Install

install.packages('snowboot')

Monthly Downloads

160

Version

0.5.2

License

GPL-3

Maintainer

Kusha Nezafati

Last Published

December 8th, 2016

Functions in snowboot (0.5.2)

LSMI

Snowball sampling with multiple inclusion.
cross_validation_mean

A function that uses cross-validation to select seed-wave combination for estimation of a degree's frequency.
bootCI

Build Bootstrap Confidence Intervals for \(\hat{p_k}\)
sample_about_one_seed

Snowball Sampling with Multiple Inclusion Around a Single Seed
BparametersEst

Summary of the Bootstrap Degree Distribution
igraph_to_network

Create a "Network" Object from an igraph Object
Oempdegreedistrib

Obtaining an Empirical Network Degree Distribution from Labeled Snowball Sampling with Multiple Inclusion (LSMI).
artificial_networks

200 Simulated Networks of order 2000 with Polylogarithmic (0.1, 2) Degree Distributions
bootdeg

Bootstrapping Empirical Degree Distribution
local.network.MR.new5

Construct Artificial Networks
summary_net

Summary of a Network Degree Sequence
vertboot

Bootstrapping a network with vertex bootstrap
Union_LSMI

Snowball sampling with multiple inclusion.