Learn R Programming

degreenet (version 1.3-6)

Models for Skewed Count Distributions Relevant to Networks

Description

Likelihood-based inference for skewed count distributions, typically of degrees used in network modeling. "degreenet" is a part of the "statnet" suite of packages for network analysis. See Jones and Handcock .

Copy Link

Version

Install

install.packages('degreenet')

Monthly Downloads

599

Version

1.3-6

License

GPL-3 + file LICENSE

Maintainer

Mark S Handcock

Last Published

September 25th, 2024

Functions in degreenet (1.3-6)

Conway Maxwell Poisson Modeling of Discrete Data

Discrete version of q-Exponential Modeling of Discrete Data

Models for Count Distributions

degreenet-package

Models for Skewed Count Distributions Relevant to Networks

Calculate the Conditional log-likelihood for the Poisson Lognormal Distributions

Poisson Lognormal Modeling of Discrete Data

Rounded Poisson Lognormal Modeling of Discrete Data

Generate a (non-random) network from a Yule Distribution

Calculate the log-likelihood for Count Distributions

Generate a undirected network with a given sequence of degrees

Calculate Bootstrap Estimates and Confidence Intervals for the Waring Distribution

Calculate the Conditional log-likelihood for Count Distributions

Calculate Bootstrap Estimates and Confidence Intervals for the Discrete Pareto Distribution

Simulate from a Yule Distribution

Calculate Bootstrap Estimates and Confidence Intervals for the Negative Binomial Distribution

Simulate from a Conway Maxwell Poisson Distribution

Calculate the Conditional log-likelihood for Count Distributions

Number of sex partners in the last 12 months for men and women in Sweden

Calculate Bootstrap Estimates and Confidence Intervals for the Yule Distribution

Simulate from a Discrete Pareto Distribution

Calculate the log-likelihood for Count Distributions

Simulate from a Negative Binomial Distribution

degreenet-internal

Internal degreenet Objects

Simulate from a Poisson Lognormal Distribution

Simulate from a Waring Distribution

Calculate Bootstrap Estimates and Confidence Intervals for the Poisson Lognormal Distribution

Waring Modeling of Discrete Data

Yule Distribution Modeling of Discrete Data