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, 2024; <doi:10.2139/ssrn.3721250>). 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>).
Version: 2.2.1 Depends: R (≥ 3.5.0) Imports: Rcpp (≥ 1.0.0), Formula, formula.tools, ddpcr, Matrix, matrixcalc, foreach, doRNG, doParallel, parallel LinkingTo: Rcpp, RcppArmadillo, RcppProgress, RcppDist, RcppNumerical, RcppEigen Suggests: ggplot2, MASS, knitr, rmarkdown Published: 2025-01-07 DOI: 10.32614/CRAN.package.CDatanet Author: Aristide Houndetoungan [cre, aut] Maintainer: Aristide Houndetoungan <ahoundetoungan at gmail.com> BugReports: https://github.com/ahoundetoungan/CDatanet/issues License: GPL-3 URL: https://github.com/ahoundetoungan/CDatanet NeedsCompilation: yes Language: en-US Materials: NEWS CRAN checks: CDatanet results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=CDatanet to link to this page.
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