Package: clusterSEs 2.6.5

Justin Esarey

clusterSEs: Calculate Cluster-Robust p-Values and Confidence Intervals

Calculate p-values and confidence intervals using cluster-adjusted t-statistics (based on Ibragimov and Muller (2010) <doi:10.1198/jbes.2009.08046>, pairs cluster bootstrapped t-statistics, and wild cluster bootstrapped t-statistics (the latter two techniques based on Cameron, Gelbach, and Miller (2008) <doi:10.1162/rest.90.3.414>. Procedures are included for use with GLM, ivreg, plm (pooling or fixed effects), and mlogit models.

Authors:Justin Esarey [aut, cre]

clusterSEs_2.6.5.tar.gz
clusterSEs_2.6.5.tar.gz(r-4.5-noble)clusterSEs_2.6.5.tar.gz(r-4.4-noble)
clusterSEs_2.6.5.tgz(r-4.4-emscripten)clusterSEs_2.6.5.tgz(r-4.3-emscripten)
clusterSEs.pdf |clusterSEs.html✨
clusterSEs/json (API)

# Install 'clusterSEs' in R:
install.packages('clusterSEs', repos = 'https://cloud.r-project.org')

On CRAN:

Conda:r-clusterses-2.6.5(2025-03-25)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.78 score 2 stars 1 packages 658 downloads 1 mentions 10 exports 76 dependencies

Last updated 4 years agofrom:f3ddfcd5e4. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 02 2025
R-4.5-linuxOKApr 02 2025
R-4.4-linuxOKApr 02 2025

Exports:cluster.bs.glmcluster.bs.ivregcluster.bs.mlogitcluster.bs.plmcluster.im.glmcluster.im.ivregcluster.im.mlogitcluster.wild.glmcluster.wild.ivregcluster.wild.plm

Dependencies:abindAERbackportsbdsmatrixbootbroomcarcarDataclicollapsecolorspacecowplotcpp11DerivdfidxdigestdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmaxLikmgcvmicrobenchmarkminqamiscToolsmlogitmodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplmpurrrquantregR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangsandwichscalesSparseMstatmodstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrzoo

Citation

To cite clusterSEs in publications use:

Justin Esarey and Andrew Menger (2017). Practical and Effective Approaches to Dealing with Clustered Data. Political Science Research and Methods, forthcoming, 1-35. URL: http://jee3.web.rice.edu/cluster-paper.pdf.

Corresponding BibTeX entry: 

  @Article{,
    title = {Practical and Effective Approaches to Dealing with
      Clustered Data},
    author = {Justin Esarey and Andrew Menger},
    journal = {Political Science Research and Methods},
    year = {2017},
    volume = {forthcoming},
    pages = {1--35},
    url = {http://jee3.web.rice.edu/cluster-paper.pdf},
  }