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 2023; <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: 2.1.3
Depends: R (≥ 3.5.0)
Imports: Rcpp (≥ 1.0.0), Formula,, ddpcr, Matrix, matrixcalc
LinkingTo: Rcpp, RcppArmadillo, RcppProgress, RcppDist, RcppNumerical, RcppEigen
Suggests: ggplot2, MASS, knitr, rmarkdown
Published: 2024-03-09
Author: Aristide Houndetoungan [cre, aut]
Maintainer: Aristide Houndetoungan <ahoundetoungan at>
License: GPL-3
NeedsCompilation: yes
Language: en-US
Materials: NEWS
CRAN checks: CDatanet results


Reference manual: CDatanet.pdf


Package source: CDatanet_2.1.3.tar.gz
Windows binaries: r-prerel:, r-release:, r-oldrel:
macOS binaries: r-prerel (arm64): CDatanet_2.1.3.tgz, r-release (arm64): CDatanet_2.1.3.tgz, r-oldrel (arm64): CDatanet_2.1.3.tgz, r-prerel (x86_64): CDatanet_2.1.3.tgz, r-release (x86_64): CDatanet_2.1.3.tgz
Old sources: CDatanet archive

Reverse dependencies:

Reverse suggests: PartialNetwork


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