CDatanet: Econometrics of Network Data
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: |
2.2.0 |
| 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: |
2024-05-14 |
| 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:
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