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snowboot (version 0.5.0)

Network Analysis with Non-Parametric Methods that Emerge from Snowball and Bootstrap Sampling

Description

Functions for analysis of network objects, which are imported or simulated by the package. The non-parametric methods of analysis center around snowball and bootstrap sampling.

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Version

Install

install.packages('snowboot')

Monthly Downloads

188

Version

0.5.0

License

GPL-3

Maintainer

Kusha Nezafati

Last Published

December 8th, 2015

Functions in snowboot (0.5.0)

cross_validation

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

BparametersEst

Summary of the Bootstrap Degree Distribution

summary_net

Summary of a Network Degree Sequence

Oempdegreedistrib

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

local.network.MR.new5

Construct Artificial Networks

LSMI

Snowball sampling with multiple inclusion.

bootdeg

Bootstrapping Empirical Degree Distribution

sample_about_one_seed

Snowball sampling with multiple inclusion around a single seed

igraph_to_network

Create a "Network" Object from an igraph Object

bootCI

Build Bootstrap Confidence Intervals for $\hat{p_k}$

artificial_networks

200 Simulated Networks from Polylogarithmic Degree Distributions