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Commit08692ee

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‎R/CDatanet.R‎

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#' @references
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#' Eddelbuettel, D., & Francois, R. (2011). \pkg{Rcpp}: Seamless \R and \code{C++} integration. \emph{Journal of Statistical Software}, 40(8), 1-18, \doi{10.18637/jss.v040.i08}.
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#' @references
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#' Houndetoungan, E. A. (2024). Count Data Models withSocial Interactions under Rational Expectations. Available at SSRN 3721250, \doi{10.2139/ssrn.3721250}.
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#' Houndetoungan, E. A. (2024). Count Data Models withHeterogeneous Peer Effects. Available at SSRN 3721250, \doi{10.2139/ssrn.3721250}.
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#' @references
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#' Lee, L. F. (2004). Asymptotic distributions of quasi-maximum likelihood estimators for spatial autoregressive models. \emph{Econometrica}, 72(6), 1899-1925, \doi{10.1111/j.1468-0262.2004.00558.x}.
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#' @references

‎R/cdnet.R‎

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#' \item{Rmax}{infinite sums in the marginal effects are approximated by sums up to Rmax.}
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#' \item{iteration}{number of iterations performed by sub-network in the Fixed Point Iteration Method.}
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#' @references
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#' Houndetoungan,E.A. (2024). Count Data Models withSocial Interactions under Rational Expectations. Available at SSRN 3721250, \doi{10.2139/ssrn.3721250}.
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#' Houndetoungan, A. (2024). Count Data Models withHeterogeneous Peer Effects. Available at SSRN 3721250, \doi{10.2139/ssrn.3721250}.
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#' @examples
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#' \donttest{
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#' set.seed(123)
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#' \item{S}{the number of simulations performed use to compute integral in the covariance by important sampling.}
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#' }
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#' @references
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#' Houndetoungan,E.A. (2024). Count Data Models withSocial Interactions under Rational Expectations. Available at SSRN 3721250, \doi{10.2139/ssrn.3721250}.
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#' Houndetoungan, A. (2024). Count Data Models withHeterogeneous Peer Effects. Available at SSRN 3721250, \doi{10.2139/ssrn.3721250}.
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#' @seealso \code{\link{sart}}, \code{\link{sar}}, \code{\link{simcdnet}}.
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#' @examples
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#' \donttest{

‎README.md‎

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#An R package for econometrics of network data
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The**CDatanet** package simulates and estimates peereffects 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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The**CDatanet** package simulates and estimates peereffect 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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**CDatanet** package includes all functions for the replication of the results in[Houndetoungan (2024)](https://doi.org/10.2139/ssrn.3721250). The exact replication codes are located in the folder[**test**](https://github.com/ahoundetoungan/CDatanet/tree/master/test).
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‎test/README.md‎

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**Replication codes for*[Count Data Models with Heterogeneous Peer Effects under Rational Expectations](https://dx.doi.org/10.2139/ssrn.3721250)***
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**Replication codes for*[Count Data Models with Heterogeneous Peer Effects](https://dx.doi.org/10.2139/ssrn.3721250)***
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###Simulations
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-`simu-dgpA.R` replicates the simulation results for DGP A.

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