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CDatanet (version 2.2.2)

Econometrics of Network Data

Description

Simulating and estimating peer effect models and network formation models. The class of peer effect models includes linear-in-means models (Lee, 2004; ), Tobit models (Xu and Lee, 2015; ), and discrete numerical data models (Houndetoungan, 2025; ). The network formation models include pair-wise regressions with degree heterogeneity (Graham, 2017; ) and exponential random graph models (Mele, 2017; ).

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Install

install.packages('CDatanet')

Monthly Downloads

308

Version

2.2.2

License

GPL-3

Issues

0

Pull Requests

0

Stars

2

Forks

1

Maintainer

Aristide Houndetoungan

Last Published

November 9th, 2025

Functions in CDatanet (2.2.2)

simsar

Simulating Data from Linear-in-Mean Models with Social Interactions
summary.cdnet

Summary for the Estimation of Count Data Models with Social Interactions under Rational Expectations
summary.sart

Summary for the Estimation of Tobit Models with Social Interactions
simcdnet

Simulating Count Data Models with Social Interactions Under Rational Expectations
simcdEy

Counterfactual Analyses with Count Data Models and Social Interactions
sart

Estimating Tobit Models with Social Interactions
simnetwork

Simulating Network Data
simsart

Simulating Data from Tobit Models with Social Interactions
summary.sar

Summary for the Estimation of Linear-in-mean Models with Social Interactions
norm.network

Creating Objects for Network Models
sar

Estimating Linear-in-mean Models with Social Interactions
cdnet

Estimating Count Data Models with Social Interactions under Rational Expectations Using the NPL Method
homophili.data

Converting Data between Directed Network Models and Symmetric Network Models.
remove.ids

Removing Identifiers with NA from Adjacency Matrices Optimally
homophily.fe

Estimating Network Formation Models with Degree Heterogeneity: the Fixed Effect Approach
print.simcdEy

Printing the Average Expected Outcomes for Count Data Models with Social Interactions
CDatanet-package

The CDatanet Package
homophily.re

Estimating Network Formation Models with Degree Heterogeneity: the Bayesian Random Effect Approach
peer.avg

Computing Peer Averages
meffects

Marginal Effects for Count Data Models and Tobit Models with Social Interactions