Other packages > Find by keyword >

clusterSEs  

Calculate Cluster-Robust p-Values and Confidence Intervals
View on CRAN: Click here


Download and install clusterSEs package within the R console
Install from CRAN:
install.packages("clusterSEs")

Install from Github:
library("remotes")
install_github("cran/clusterSEs")

Install by package version:
library("remotes")
install_version("clusterSEs", "2.6.5")



Attach the package and use:
library("clusterSEs")
Maintained by
Justin Esarey
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-03-03
Latest Update: 2021-04-05
Description:
Calculate p-values and confidence intervals using cluster-adjusted t-statistics (based on Ibragimov and Muller (2010) , pairs cluster bootstrapped t-statistics, and wild cluster bootstrapped t-statistics (the latter two techniques based on Cameron, Gelbach, and Miller (2008) . Procedures are included for use with GLM, ivreg, plm (pooling or fixed effects), and mlogit models.
How to cite:
Justin Esarey (2015). clusterSEs: Calculate Cluster-Robust p-Values and Confidence Intervals. R package version 2.6.5, https://cran.r-project.org/web/packages/clusterSEs. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0 (2015-03-03 18:21), 1.1 (2015-03-05 07:32), 1.2 (2015-03-11 23:17), 2.0.1 (2015-07-15 01:54), 2.0 (2015-06-24 00:57), 2.1 (2015-08-05 17:21), 2.2 (2016-05-01 09:49), 2.3.1 (2016-06-06 20:36), 2.3.2 (2016-07-17 13:37), 2.3.3 (2017-03-05 17:26), 2.4.1 (2017-09-28 16:16), 2.4 (2017-05-20 09:14), 2.5.1 (2018-10-29 16:30), 2.5 (2018-06-01 23:34), 2.6.1 (2019-06-09 18:00), 2.6.2 (2019-09-15 19:50), 2.6.4 (2021-03-05 07:30), 2.6 (2019-06-09 06:50)
Other packages that cited clusterSEs R package
View clusterSEs citation profile
Other R packages that clusterSEs depends, imports, suggests or enhances
Complete documentation for clusterSEs
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA