Package: dfadjust 1.0.5.9000

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]

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NEWS

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

Peer review:

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

On CRAN:

5.49 score 31 stars 7 scripts 252 downloads 1 exports 0 dependencies

Last updated 3 months agofrom:9121af3213. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 18 2024
R-4.5-winOKOct 18 2024
R-4.5-linuxOKOct 18 2024
R-4.4-winOKOct 18 2024
R-4.4-macOKOct 18 2024
R-4.3-winOKOct 18 2024
R-4.3-macOKOct 18 2024

Exports:dfadjustSE

Dependencies:

Robust Standard Errors in Small Samples

Rendered fromdfadjust.Rmdusingknitr::rmarkdownon Oct 18 2024.

Last update: 2023-10-04
Started: 2019-08-16