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wildrwolf: Fast Computation of Romano-Wolf Corrected p-Values for Linear Regression Models

Fast Routines to Compute Romano-Wolf corrected p-Values (Romano and Wolf (2005a) <doi:10.1198/016214504000000539>, Romano and Wolf (2005b) <doi:10.1111/j.1468-0262.2005.00615.x>) for objects of type 'fixest' and 'fixest_multi' from the 'fixest' package via a wild (cluster) bootstrap.

Version: 0.6.1
Imports: fixest, fwildclusterboot, dreamerr, fabricatr, MASS
Suggests: covr, testthat (≥ 3.0.0), rmarkdown, ggplot2, RStata, microbenchmark
Published: 2023-03-02
Author: Alexander Fischer [aut, cre]
Maintainer: Alexander Fischer <alexander-fischer1801 at t-online.de>
BugReports: https://github.com/s3alfisc/wildrwolf/issues/
License: GPL (≥ 3)
URL: https://s3alfisc.github.io/wildrwolf/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: wildrwolf results

Documentation:

Reference manual: wildrwolf.pdf

Downloads:

Package source: wildrwolf_0.6.1.tar.gz
Windows binaries: r-devel: wildrwolf_0.6.1.zip, r-release: wildrwolf_0.6.1.zip, r-oldrel: wildrwolf_0.6.1.zip
macOS binaries: r-release (arm64): wildrwolf_0.6.1.tgz, r-oldrel (arm64): wildrwolf_0.6.1.tgz, r-release (x86_64): wildrwolf_0.6.1.tgz, r-oldrel (x86_64): wildrwolf_0.6.1.tgz
Old sources: wildrwolf 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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