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1 | 1 | ##An R package for econometrics of network data |
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5 | 5 | [](https://opensource.org/licenses/MIT) |
6 | 6 | [](https://github.com/ahoundetoungan/CDatanet/actions/workflows/R-CMD-check.yml) |
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8 | 8 | [](https://ahoundetoungan.r-universe.dev/CDatanet) |
9 | 9 | [](https://CRAN.R-project.org/package=CDatanet) |
10 | 10 | [](https://cran.r-project.org/package=CDatanet) |
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14 | 14 | The**CDatanet** package simulates and estimates peer effect models and network formation models. The class of peer effect models includes the linear-in-means models ([Lee, 2004](https://doi.org/10.1111/j.1468-0262.2004.00558.x);[Lee et al., 2010](https://doi.org/10.1111/j.1368-423X.2010.00310.x)), the Tobit models ([Xu and Lee, 2015](https://doi.org/10.1016/j.jeconom.2015.05.004)), and discrete numerical data models ([Houndetoungan, 2024](https://doi.org/10.2139/ssrn.3721250)). The network formation models include pair-wise regressions with degree heterogeneity ([Graham, 2017](https://doi.org/10.3982/ECTA12679);[Yan et al., 2019](https://doi.org/10.1080/01621459.2018.1448829)) and exponential random graph models ([Mele, 2017](https://doi.org/10.3982/ECTA10400)). |
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