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 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

Downloads:

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: not available, r-oldrel: not available
macOS binaries: r-release: CDatanet_0.0.1.tgz, r-oldrel: CDatanet_0.0.1.tgz

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