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dfadjust: Degrees of Freedom Adjustment for Robust Standard Errors

Computes small-sample degrees of freedom adjustment for heteroskedasticity robust standard errors, and for clustered standard errors in linear regression. See Imbens and Kolesár (2016) <doi:10.1162/REST_a_00552> for a discussion of these adjustments.

Version: 1.1.0
Depends: R (≥ 3.6.0)
Imports: collapse
Suggests: testthat (≥ 2.1.0), sandwich, knitr, rmarkdown, spelling, formatR
Published: 2024-12-18
DOI: 10.32614/CRAN.package.dfadjust
Author: Michal Kolesár ORCID iD [aut, cre, cph], Kranz Sebastian [ctb]
Maintainer: Michal Kolesár <kolesarmi at googlemail.com>
BugReports: https://github.com/kolesarm/Robust-Small-Sample-Standard-Errors/issues
License: MIT + file LICENSE
URL: https://github.com/kolesarm/Robust-Small-Sample-Standard-Errors
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: dfadjust results

Documentation:

Reference manual: dfadjust.pdf
Vignettes: dfadjust (source, R code)

Downloads:

Package source: dfadjust_1.1.0.tar.gz
Windows binaries: r-devel: dfadjust_1.0.5.zip, r-release: dfadjust_1.1.0.zip, r-oldrel: dfadjust_1.1.0.zip
macOS binaries: r-release (arm64): dfadjust_1.1.0.tgz, r-oldrel (arm64): dfadjust_1.1.0.tgz, r-release (x86_64): dfadjust_1.1.0.tgz, r-oldrel (x86_64): dfadjust_1.1.0.tgz
Old sources: dfadjust archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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