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update cran submission of v0.7
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s3alfisc committed Jan 3, 2022
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2 changes: 1 addition & 1 deletion DESCRIPTION
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Expand Up @@ -34,7 +34,7 @@ Authors@R:
Description: Implementation of the fast algorithm for wild cluster bootstrap
inference developed in Roodman et al (2019, STATA Journal) for
linear regression models
https://journals.sagepub.com/doi/abs/10.1177/1536867X19830877?journalCode=stja,
<doi:10.1177/1536867X19830877>,
which makes it feasible to quickly calculate bootstrap test
statistics based on a large number of bootstrap draws even for
large samples - as long as the number of bootstrapping clusters
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2 changes: 1 addition & 1 deletion README.Rmd
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Expand Up @@ -41,7 +41,7 @@ The package's central function is `boottest()`. It allows the user to test univa

The `fwildclusterboot` package currently supports multi-dimensional clustering and one-dimensional hypotheses. It supports regression weights, multiple distributions of bootstrap weights, fixed effects, restricted (WCR) and unrestricted (WCU) bootstrap inference and subcluster bootstrapping for few treated clusters [(MacKinnon & Webb, (2018))](https://academic.oup.com/ectj/article-abstract/21/2/114/5078969).

If you are interested in the wild cluster bootstrap for IV models [(Davidson & MacKinnon, 2010)](https://www.tandfonline.com/doi/abs/10.1198/jbes.2009.07221]) or want to test multiple joint hypotheses, you can use the [wildboottestjlr](https://github.com/s3alfisc/wildboottestjlr) package, which is an R wrapper of the [WildBootTests.jl](https://github.com/droodman/WildBootTests.jl) Julia package. While `fwildclusterboot` is already quite fast (see the benchmarks below),
If you are interested in the wild cluster bootstrap for IV models [(Davidson & MacKinnon, 2010)](https://www.tandfonline.com/doi/abs/10.1198/jbes.2009.07221) or want to test multiple joint hypotheses, you can use the [wildboottestjlr](https://github.com/s3alfisc/wildboottestjlr) package, which is an R wrapper of the [WildBootTests.jl](https://github.com/droodman/WildBootTests.jl) Julia package. While `fwildclusterboot` is already quite fast (see the benchmarks below),
the implementation of the wild bootstrap for OLS in `WildBootTests.jl` is - after compilation - orders of magnitudes faster, in particular for problems with a large number of clusters.

<!-- The following features will be added in the future: -->
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4 changes: 2 additions & 2 deletions README.md
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Expand Up @@ -47,8 +47,8 @@ subcluster bootstrapping for few treated clusters [(MacKinnon & Webb,

If you are interested in the wild cluster bootstrap for IV models
[(Davidson & MacKinnon,
2010)](https://www.tandfonline.com/doi/abs/10.1198/jbes.2009.07221%5D)
or want to test multiple joint hypotheses, you can use the
2010)](https://www.tandfonline.com/doi/abs/10.1198/jbes.2009.07221) or
want to test multiple joint hypotheses, you can use the
[wildboottestjlr](https://github.com/s3alfisc/wildboottestjlr) package,
which is an R wrapper of the
[WildBootTests.jl](https://github.com/droodman/WildBootTests.jl) Julia
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415 changes: 415 additions & 0 deletions cran-comments.html

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21 changes: 21 additions & 0 deletions cran-comments.md
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## Re-submission of 0.7

Fixed both issues below:

+ Found the following (possibly) invalid URLs:
URL: https://www.tandfonline.com/doi/abs/10.1198/jbes.2009.07221%5D
From: README.md
Status: 404
Message: Not Found

The closing %5D = "]" should likely be removed.



+ The Description field contains

https://journals.sagepub.com/doi/abs/10.1177/1536867X19830877?journalCode=stja,

Please write DOIs as <doi:10.1177/1536867X19830877> in the Description
field without the rest of the URL.

## Version 0.7

- checks pass on github actions: windows, mac, ubuntu
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