Package: CDatanet 2.2.1
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, 2024; <doi:10.2139/ssrn.3721250>). 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_2.2.1.tar.gz
CDatanet_2.2.1.zip(r-4.5)CDatanet_2.2.1.zip(r-4.4)CDatanet_2.2.1.zip(r-4.3)
CDatanet_2.2.1.tgz(r-4.4-x86_64)CDatanet_2.2.1.tgz(r-4.4-arm64)CDatanet_2.2.1.tgz(r-4.3-x86_64)CDatanet_2.2.1.tgz(r-4.3-arm64)
CDatanet_2.2.1.tar.gz(r-4.5-noble)CDatanet_2.2.1.tar.gz(r-4.4-noble)
CDatanet_2.2.1.tgz(r-4.4-emscripten)CDatanet_2.2.1.tgz(r-4.3-emscripten)
CDatanet.pdf |CDatanet.html✨
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 6 months agofrom:08692ee1e6. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 18 2024 |
R-4.5-win-x86_64 | OK | Nov 18 2024 |
R-4.5-linux-x86_64 | OK | Nov 18 2024 |
R-4.4-win-x86_64 | OK | Nov 18 2024 |
R-4.4-mac-x86_64 | OK | Nov 18 2024 |
R-4.4-mac-aarch64 | OK | Nov 18 2024 |
R-4.3-win-x86_64 | OK | Nov 18 2024 |
R-4.3-mac-x86_64 | OK | Nov 18 2024 |
R-4.3-mac-aarch64 | OK | Nov 18 2024 |
Exports:cdnethomophili.datahomophily.fehomophily.remat.to.vecnorm.networkpeer.avgremove.idssarsartsimcdEysimcdnetsimnetworksimsarsimsartvec.to.mat
Dependencies:askpassbackportsbase64encbitbit64bslibcachemcheckmateclicliprcodetoolscolorspacecommonmarkcpp11crayoncrosstalkcurldata.tableddpcrdigestdoParalleldoRNGdplyrDTevaluatefansifarverfastmapfontawesomeforeachFormulaformula.toolsfsgenericsggplot2gluegtablehighrhmshtmltoolshtmlwidgetshttpuvhttrisobanditeratorsjquerylibjsonlitekernlabknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmatrixcalcmemoisemgcvmimemixtoolsmunsellnlmeopenssloperator.toolspillarpkgconfigplotlyplyrprettyunitsprogresspromisespurrrR6rappdirsRColorBrewerRcppRcppArmadilloRcppDistRcppEigenRcppNumericalRcppProgressreadrrlangrmarkdownrngtoolssassscalessegmentedshinyshinydisconnectshinyjssourcetoolsstringistringrsurvivalsystibbletidyrtidyselecttinytextzdbutf8vctrsviridisLitevroomwithrxfunxtableyaml