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 2020; <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: | 0.0.1 |
Depends: | R (≥ 3.5.0) |
Imports: | Rcpp (≥ 1.0.0), Formula, formula.tools, ddpcr, Matrix |
LinkingTo: | Rcpp, RcppArmadillo, RcppProgress |
Suggests: | ggplot2, knitr, rmarkdown |
Published: | 2021-02-17 |
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 |
Materials: | README |
CRAN checks: | CDatanet results |
Reference manual: | CDatanet.pdf |
Vignettes: |
CDatanet Documentation |
Package source: | CDatanet_0.0.1.tar.gz |
Windows binaries: | r-devel: CDatanet_0.0.1.zip, r-release: CDatanet_0.0.1.zip, r-oldrel: CDatanet_0.0.1.zip |
macOS binaries: | r-release: CDatanet_0.0.1.tgz, r-oldrel: CDatanet_0.0.1.tgz |
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