bucky-package {bucky}R Documentation

Bucky's Archive for Data Analysis in the Social Sciences

Description

Provides functions for various statistical techniques commonly used in the social sciences, including functions to compute clustered robust standard errors, combine results across multiply-imputed data sets, and simplify the addition of robust and clustered robust standard errors.

Details

Package: bucky
Type: Package
Title: Bucky's Archive for Data Analysis in the Social Sciences
Version: 1.0.7
Date: 2022-03-25
Authors@R: c(person("Alexander", "Tahk", role = c("aut", "cre"), email = "tahk@alum.mit.edu", comment = c(ORCID = "0000-0001-7895-9420")))
Author: Alexander Tahk [aut, cre] (<https://orcid.org/0000-0001-7895-9420>)
Maintainer: Alexander Tahk <tahk@alum.mit.edu>
Depends: R (>= 3.1.0)
Imports: methods, sandwich, lmtest
Suggests: MASS, parallel, Amelia, mice
Enhances: texreg, stargazer
URL: https://github.com/atahk/bucky
Description: Provides functions for various statistical techniques commonly used in the social sciences, including functions to compute clustered robust standard errors, combine results across multiply-imputed data sets, and simplify the addition of robust and clustered robust standard errors.
License: GPL (>= 3)

Index of help topics:

bucky-package           Bucky's Archive for Data Analysis in the Social
                        Sciences
mi.eval                 Multiple-imputation evaluation
robust.summary          Robust summary
robustify               Robustify a model
summary.mi.estimates    Summary for multiple imputation
vcovCR                  Clustered Robust Covariance Matrix Estimation

Author(s)

Alexander Tahk [aut, cre] (<https://orcid.org/0000-0001-7895-9420>)

Maintainer: Alexander Tahk <tahk@alum.mit.edu>

References

Cameron, A. Colin, and Douglas L. Miller. “A Practitioner's Guide to Cluster-Robust Inference.” Journal of Human Resources 50, no. 2 (Spring 2015): 317-372. doi: 10.3368/jhr.50.2.317

Little, Roderick J. A., and Donald B. Rubin. “The Analysis of Social Science Data with Missing Values.” Sociological Methods & Research 18, no. 2-3 (November 1989): 292-326. doi: 10.1177/0049124189018002004

Rubin, Donald. B. Multiple Imputation for Nonresponse in Surveys. New York: John Wiley & Sons, 2004.

See Also

See also mice, amelia-package, MIcombine, sandwich and coeftest.


[Package bucky version 1.0.7 Index]