CDatanet: Modeling Count Data with Peer Effects
Likelihood-based estimation and data generation from a class of models used to estimate peer effects on count data by controlling for the network endogeneity. This class includes count data models with social interactions (Houndetoungan 2022; <doi:10.2139/ssrn.3721250>), spatial tobit models (Xu and Lee 2015; <doi:10.1016/j.jeconom.2015.05.004>), and spatial linear-in-means models (Lee 2004; <doi:10.1111/j.1468-0262.2004.00558.x>).
| Version: |
1.0.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
Rcpp (≥ 1.0.0), Formula, formula.tools, ddpcr, Matrix |
| LinkingTo: |
Rcpp, RcppArmadillo, RcppProgress, RcppDist |
| Suggests: |
ggplot2, MASS, knitr, rmarkdown |
| Published: |
2022-04-05 |
| Author: |
Elysée Aristide Houndetoungan [cre, aut] |
| Maintainer: |
Elysée Aristide Houndetoungan <ariel92and 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:
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