Models for Skewed Count Distributions Relevant to Networks
Conway Maxwell Poisson Modeling of Discrete Data
Discrete version of q-Exponential Modeling of Discrete Data
Poisson Lognormal Modeling of Discrete Data
Rounded Poisson Lognormal Modeling of Discrete Data
Waring Modeling of Discrete Data
Yule Distribution Modeling of Discrete Data
Calculate Bootstrap Estimates and Confidence Intervals for the Discret...
Calculate Bootstrap Estimates and Confidence Intervals for the Negativ...
Calculate Bootstrap Estimates and Confidence Intervals for the Poisson...
Calculate Bootstrap Estimates and Confidence Intervals for the Waring ...
Calculate Bootstrap Estimates and Confidence Intervals for the Yule Di...
Internal degreenet Objects
Models for Skewed Count Distributions Relevant to Networks
Models for Count Distributions
Calculate the Conditional log-likelihood for Count Distributions
Calculate the log-likelihood for Count Distributions
Calculate the Conditional log-likelihood for the Poisson Lognormal Dis...
Calculate the Conditional log-likelihood for Count Distributions
Calculate the log-likelihood for Count Distributions
Generate a undirected network with a given sequence of degrees
Generate a (non-random) network from a Yule Distribution
Simulate from a Conway Maxwell Poisson Distribution
Simulate from a Discrete Pareto Distribution
Simulate from a Negative Binomial Distribution
Simulate from a Poisson Lognormal Distribution
Simulate from a Waring Distribution
Simulate from a Yule Distribution
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 <doi:10.1098/rspb.2003.2369>.