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degreenet (version 1.3-5)

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 .

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Version

Install

install.packages('degreenet')

Monthly Downloads

407

Version

1.3-5

License

GPL-3 + file LICENSE

Maintainer

Mark S Handcock

Last Published

February 1st, 2024

Functions in degreenet (1.3-5)

acmpmle

Conway Maxwell Poisson Modeling of Discrete Data
adqemle

Discrete version of q-Exponential Modeling of Discrete Data
rplnmle

Rounded Poisson Lognormal Modeling of Discrete Data
aplnmle

Poisson Lognormal Modeling of Discrete Data
bswar

Calculate Bootstrap Estimates and Confidence Intervals for the Waring Distribution
bspln

Calculate Bootstrap Estimates and Confidence Intervals for the Poisson Lognormal Distribution
gyulemle

Models for Count Distributions
reedmolloy

Generate a undirected network with a given sequence of degrees
degreenet-internal

Internal degreenet Objects
llyuleall

Calculate the log-likelihood for Count Distributions
bsyule

Calculate Bootstrap Estimates and Confidence Intervals for the Yule Distribution
llpln

Calculate the Conditional log-likelihood for the Poisson Lognormal Distributions
llyule

Calculate the Conditional log-likelihood for Count Distributions
llgyuleall

Calculate the log-likelihood for Count Distributions
llgyule

Calculate the Conditional log-likelihood for Count Distributions
degreenet-package

Models for Skewed Count Distributions Relevant to Networks
simyule

Simulate from a Yule Distribution
simcmp

Simulate from a Conway Maxwell Poisson Distribution
simpln

Simulate from a Poisson Lognormal Distribution
sweden

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

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

Simulate from a Negative Binomial Distribution
simwar

Simulate from a Waring Distribution
simdp

Simulate from a Discrete Pareto Distribution
awarmle

Waring Modeling of Discrete Data
bsnb

Calculate Bootstrap Estimates and Confidence Intervals for the Negative Binomial Distribution
bsdp

Calculate Bootstrap Estimates and Confidence Intervals for the Discrete Pareto Distribution
ayulemle

Yule Distribution Modeling of Discrete Data