Package: dfadjust 1.1.0.9000

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.

Authors:Michal Kolesár [aut, cre, cph], Kranz Sebastian [ctb]

dfadjust_1.1.0.9000.tar.gz
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manual.pdf |manual.html
card.svg |card.png
dfadjust/json (API)
NEWS

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

Bug tracker:https://github.com/kolesarm/robust-small-sample-standard-errors/issues

On CRAN:

Conda:

5.30 score 31 stars 13 scripts 254 downloads 1 exports 2 dependencies

Last updated from:a8e6e965e2. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK118
source / vignettesOK173
linux-release-x86_64OK135
macos-release-arm64OK148
macos-oldrel-arm64OK197
windows-develOK95
windows-releaseOK88
windows-oldrelOK79
wasm-releaseOK96

Exports:dfadjustSE

Dependencies:collapseRcpp

Robust Standard Errors in Small Samples

Rendered fromdfadjust.Rmdusingknitr::rmarkdownon May 11 2026.

Last update: 2024-12-16
Started: 2019-08-16