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
dfadjust_1.1.0.9000.zip(r-4.7)dfadjust_1.1.0.9000.zip(r-4.6)dfadjust_1.1.0.9000.zip(r-4.5)
dfadjust_1.1.0.9000.tgz(r-4.6-any)dfadjust_1.1.0.9000.tgz(r-4.5-any)
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dfadjust_1.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dfadjust/json (API)

# 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:

5.30 score 31 stars 13 scripts 239 downloads 1 exports 2 dependencies

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

Target	Result	Time
linux-devel-x86_64	OK	115
source / vignettes	OK	193
linux-release-x86_64	OK	114
macos-release-arm64	OK	98
macos-oldrel-arm64	OK	101
windows-devel	OK	86
windows-release	OK	74
windows-oldrel	OK	66
wasm-release	OK	103