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>).">

CDatanet: Econometrics of Network Data (original) (raw)

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
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

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