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-4.7-any)clusterSEs_2.6.5.tar.gz(r-4.6-any)
clusterSEs_2.6.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
clusterSEs/json (API)

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

On CRAN:

Conda:

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

2.38 score 2 stars 1 packages 40 scripts 608 downloads 1 mentions 10 exports 80 dependencies

Last updated from:f3ddfcd5e4. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK151
source / vignettesOK223
linux-release-x86_64OK155
wasm-releaseOK153

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

Dependencies:abindAERbackportsbdsmatrixbootbroomcarcarDataclicollapsecolorspacecowplotcpp11DerivdfidxdigestdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmaxLikmgcvmicrobenchmarkminqamiscToolsmlogitmodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplmpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7sandwichscalesSparseMstatmodstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo