Modeling Count Data with Peer Effects

Likelihood-based estimation and data generation from a class of models used to estimate peer effects on count data by controlling for the network endogeneity. This class includes count data models with social interactions (Houndetoungan 2020; ), spatial tobit models (Xu and Lee 2015; ), and spatial linear-in-means models (Lee 2004; ).


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("CDatanet")

0.0.1 by Elysée Aristide Houndetoungan, 7 months ago


https://github.com/ahoundetoungan/CDatanet


Report a bug at https://github.com/ahoundetoungan/CDatanet/issues


Browse source code at https://github.com/cran/CDatanet


Authors: Elysée Aristide Houndetoungan [cre, aut]


Documentation:   PDF Manual  


GPL-3 license


Imports Rcpp, Formula, formula.tools, ddpcr, Matrix

Suggests ggplot2, knitr, rmarkdown

Linking to Rcpp, RcppArmadillo, RcppProgress


See at CRAN