Package: CDatanet
Type: Package
Title: Econometrics of Network Data
Version: 2.2.1
Date: 2025-01-10
Authors@R: person("Aristide", "Houndetoungan", role = c("cre","aut"), email =  "ahoundetoungan@gmail.com")
Description: 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>).
License: GPL-3
Language: en-US
Encoding: UTF-8
BugReports: https://github.com/ahoundetoungan/CDatanet/issues
URL: https://github.com/ahoundetoungan/CDatanet
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
RoxygenNote: 7.3.2
Suggests: ggplot2, MASS, knitr, rmarkdown
NeedsCompilation: yes
Packaged: 2025-01-02 01:01:19 UTC; haache
Author: Aristide Houndetoungan [cre, aut]
Maintainer: Aristide Houndetoungan <ahoundetoungan@gmail.com>
Repository: CRAN
Date/Publication: 2025-01-07 15:10:05 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-11-02 05:29:43 UTC; windows
Archs: x64
