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netjack (version 1.0.0)

Tools for Working with Samples of Networks

Description

Tools for managing large sets of network data and performing whole network analysis. This package is focused on the network based statistic jackknife method, and implements a framework that can be extended to other network manipulations and analyses.

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Version

Install

install.packages('netjack')

Monthly Downloads

21

Version

1.0.0

License

GPL-3

Maintainer

Teague Henry

Last Published

July 1st, 2018

Functions in netjack (1.0.0)

An S4 class representing a single network with a network permutation function applied to it.

Network statistics to long format dataframe

Constructor for single Net object

Constructor for a NetSample object

NetStatSet-class

An S4 class representing the results of applying a network statistic function to a single NetSet object.

NetSampleStatSet-class

An S4 class representing the results of applying a network statistic function to a NetSampSet object.

network_functions

Network Manipulation Functions

network_statistics

Network Statistic Functions

Test for differences from original statistic

Simulated Dataset of 20 networks. Group B.

pretty_print_arg_list

Format and print an argument list.

show,Net-method

Convenience Functions for printing information about Net-type objects

Simulated Dataset of 20 networks. Group A.

diff_test_ggPlot

Difference Test Plots

group_diff_test_ggPlot

Group Difference Plots

group_diff_test

Group difference test

NetSample-class

An S4 class to represent a sample of networks

NetSampleSet-class

An S4 class representing a sample of networks with a network permutation function applied to it.

An S4 class to represent a single network.

Apply a network manipulation function to a single network, or to a sample of networks

Apply a network statistic function to a NetSet or NetSampleSet object.

group_test_ggPlot

Group Test Plots