Package: CDatanet 2.2.3

Aristide Houndetoungan
CDatanet: Econometrics of Network Data
Simulating and estimating peer effect models and network formation models. The class of peer effect models includes linear-in-means models (Lee, 2004; <doi:10.1111/j.1468-0262.2004.00558.x>), Tobit models (Xu and Lee, 2015; <doi:10.1016/j.jeconom.2015.05.004>), and discrete numerical data models (Houndetoungan, 2025; <doi:10.48550/arXiv.2405.17290>). The network formation models include pair-wise regressions with degree heterogeneity (Graham, 2017; <doi:10.3982/ECTA12679>) and exponential random graph models (Mele, 2017; <doi:10.3982/ECTA10400>).
Authors:
CDatanet_2.2.3.tar.gz
CDatanet_2.2.3.zip(r-4.7)CDatanet_2.2.3.zip(r-4.6)CDatanet_2.2.3.zip(r-4.5)
CDatanet_2.2.3.tgz(r-4.6-x86_64)CDatanet_2.2.3.tgz(r-4.6-arm64)CDatanet_2.2.3.tgz(r-4.5-x86_64)CDatanet_2.2.3.tgz(r-4.5-arm64)
CDatanet_2.2.3.tar.gz(r-4.7-arm64)CDatanet_2.2.3.tar.gz(r-4.7-x86_64)CDatanet_2.2.3.tar.gz(r-4.6-arm64)CDatanet_2.2.3.tar.gz(r-4.6-x86_64)
CDatanet_2.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CDatanet/json (API)
NEWS
| # Install 'CDatanet' in R: |
| install.packages('CDatanet', repos = c('https://ahoundetoungan.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ahoundetoungan/cdatanet/issues
Last updated from:d04bc895e0. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 270 | ||
| linux-devel-x86_64 | OK | 261 | ||
| source / vignettes | OK | 265 | ||
| linux-release-arm64 | OK | 283 | ||
| linux-release-x86_64 | OK | 261 | ||
| macos-release-arm64 | OK | 207 | ||
| macos-release-x86_64 | OK | 365 | ||
| macos-oldrel-arm64 | OK | 178 | ||
| macos-oldrel-x86_64 | OK | 384 | ||
| windows-devel | OK | 301 | ||
| windows-release | OK | 318 | ||
| windows-oldrel | OK | 287 | ||
| wasm-release | OK | 189 |
Exports:cdnethomophili.datahomophily.fehomophily.remat.to.vecmeffectsnorm.networkpeer.avgremove.idssarsartsimcdEysimcdnetsimnetworksimsarsimsartvec.to.mat
Dependencies:codetoolsdigestdoParalleldoRNGforeachFormulaformula.toolsiteratorslatticeMatrixmatrixcalcoperator.toolsRcppRcppArmadilloRcppDistRcppEigenRcppNumericalRcppProgressrngtools