Econometrics of Network Data R package CDatanet version 2.2.2 Simulating and estimating peer effect models and network formation models. The class of peer effect models includes linear-in-means models (Lee, 2004; <doi:10.1111/j.1468-0262.2004.00558.x>), Tobit models (Xu and Lee, 2015; <doi:10.1016/j.jeconom.2015.05.004>), and discrete numerical data models (Houndetoungan, 2025; <doi:10.48550/arXiv.2405.17290>). The network formation models include pair-wise regressions with degree heterogeneity (Graham, 2017; <doi:10.3982/ECTA12679>) and exponential random graph models (Mele, 2017; <doi:10.3982/ECTA10400>). Software Depends: R (>= 3.5.0) Imports: Rcpp (>= 1.0.0), Formula, formula.tools, Matrix, matrixcalc, foreach, doRNG, doParallel, parallel LinkingTo: Rcpp, RcppArmadillo, RcppProgress, RcppDist, RcppNumerical, RcppEigen Suggests: ggplot2, MASS, knitr, rmarkdown Aristide Houndetoungan <ahoundetoungan@ecn.ulaval.ca> Comprehensive R Archive Network (CRAN) Aristide Houndetoungan [cre, aut] GPL-3 2025-11-09 application/tgz https://CRAN.R-project.org/package=CDatanet doi:10.32614/CRAN.package.CDatanet en-US