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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 .

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Version

Install

install.packages('degreenet')

Monthly Downloads

386

Version

1.3-6

License

GPL-3 + file LICENSE

Maintainer

Last Published

September 25th, 2024

Functions in degreenet (1.3-6)

acmpmle

Conway Maxwell Poisson Modeling of Discrete Data
adqemle

Discrete version of q-Exponential Modeling of Discrete Data
gyulemle

Models for Count Distributions
degreenet-package

Models for Skewed Count Distributions Relevant to Networks
llpln

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

Poisson Lognormal Modeling of Discrete Data
rplnmle

Rounded Poisson Lognormal Modeling of Discrete Data
ryule

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

Calculate the log-likelihood for Count Distributions
reedmolloy

Generate a undirected network with a given sequence of degrees
bswar

Calculate Bootstrap Estimates and Confidence Intervals for the Waring Distribution
llyule

Calculate the Conditional log-likelihood for Count Distributions
bsdp

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

Simulate from a Yule Distribution
bsnb

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

Simulate from a Conway Maxwell Poisson Distribution
llgyule

Calculate the Conditional log-likelihood for Count Distributions
sweden

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

Calculate Bootstrap Estimates and Confidence Intervals for the Yule Distribution
simdp

Simulate from a Discrete Pareto Distribution
llgyuleall

Calculate the log-likelihood for Count Distributions
simnb

Simulate from a Negative Binomial Distribution
degreenet-internal

Internal degreenet Objects
simpln

Simulate from a Poisson Lognormal Distribution
simwar

Simulate from a Waring Distribution
bspln

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

Waring Modeling of Discrete Data
ayulemle

Yule Distribution Modeling of Discrete Data