Learn R Programming
⚠️There's a newer version (1.0.2) of this package.Take me there.

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")

Copy Link

Version

Install

install.packages('snowboot')

Monthly Downloads

188

Version

0.5.1

License

GPL-3

Maintainer

Kusha Nezafati

Last Published

April 4th, 2016

Functions in snowboot (0.5.1)

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.
sample_about_one_seed

Snowball Sampling with Multiple Inclusion Around a Single Seed
vertboot

Bootstrapping a network with vertex bootstrap
bootCI

Build Bootstrap Confidence Intervals for $p^_k$
cross_validation

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

Bootstrapping Empirical Degree Distribution
summary_net

Summary of a Network Degree Sequence
igraph_to_network

Create a "Network" Object from an igraph Object
BparametersEst

Summary of the Bootstrap Degree Distribution
artificial_networks

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