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: 2.0.3
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.0), Formula, formula.tools, ddpcr, Matrix
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, RcppDist, RcppNumerical, RcppEigen
Suggests: ggplot2, MASS, knitr, rmarkdown
Published: 2022-11-16
Author: Elysee Aristide Houndetoungan [cre, aut]
Maintainer: Elysee 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:

Reference manual: CDatanet.pdf

Downloads:

Package source: CDatanet_2.0.3.tar.gz
Windows binaries: r-devel: CDatanet_2.0.3.zip, r-release: not available, r-oldrel: CDatanet_2.0.3.zip
macOS binaries: r-release (arm64): CDatanet_2.0.3.tgz, r-oldrel (arm64): CDatanet_2.0.3.tgz, r-release (x86_64): CDatanet_2.0.3.tgz, r-oldrel (x86_64): CDatanet_2.0.3.tgz
Old sources: CDatanet archive

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