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release v1.0.5 (#506)
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CONTRIBUTING.md

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code or documentation improvements are encouraged and welcome. We welcome novices
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who may have never contributed to a package before as well as friendly
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veterans looking to help us improve the package for users. We are eager to include
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and accepting of contributions from everyone that meets our [code of conduct](CONDUCT.md)
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and accepting of contributions from everyone that meets our [code of conduct](.github/CODE_OF_CONDUCT.md)
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guidelines.
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Please use the GitHub issues. For any pull request, please link to or open a
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## Code of Conduct
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When contributing to the `infer` package you must follow the code of
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conduct defined in [CONDUCT](CONDUCT.md).
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conduct defined in [CONDUCT](.github/CODE_OF_CONDUCT.md).

DESCRIPTION

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Type: Package
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Package: infer
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Title: Tidy Statistical Inference
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Version: 1.0.4.9000
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Version: 1.0.5
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Authors@R: c(
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person("Andrew", "Bray", , "[email protected]", role = "aut"),
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person("Chester", "Ismay", , "[email protected]", role = "aut",

NEWS.md

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# infer v1.0.4.9000 (developmental version)
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# infer v1.0.5
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* Implemented support for permutation hypothesis tests for paired data via the
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argument value `null = "paired independence"` in `hypothesize()` (#487).

README.Rmd

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------------------------------------------------------------------------
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We welcome others helping us make this package as user-friendly and efficient as possible. Please review our [contributing](https://github.com/tidymodels/infer/blob/main/CONTRIBUTING.md) and [conduct](https://github.com/tidymodels/infer/blob/main/CONDUCT.md) guidelines. By participating in this project you agree to abide by its terms.
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We welcome others helping us make this package as user-friendly and efficient as possible. Please review our [contributing](https://github.com/tidymodels/infer/blob/main/CONTRIBUTING.md) and [conduct](https://github.com/tidymodels/infer/blob/main/.github/CODE_OF_CONDUCT.md) guidelines. By participating in this project you agree to abide by its terms.
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For questions and discussions about tidymodels packages, modeling, and machine learning, please [post on Posit Community](https://community.rstudio.com/new-topic?category_id=15&tags=tidymodels,question). If you think you have encountered a bug, please [submit an issue](https://github.com/tidymodels/infer/issues). Either way, learn how to create and share a [reprex](https://reprex.tidyverse.org/articles/learn-reprex.html) (a minimal, reproducible example), to clearly communicate about your code. Check out further details on [contributing guidelines for tidymodels packages](https://www.tidymodels.org/contribute/) and [how to get help](https://www.tidymodels.org/help/).
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README.md

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[![R-CMD-check](https://github.com/tidymodels/infer/actions/workflows/check-standard.yaml/badge.svg)](https://github.com/tidymodels/infer/actions/workflows/check-standard.yaml)
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[![CRAN\_Status\_Badge](https://www.r-pkg.org/badges/version/infer)](https://cran.r-project.org/package=infer)
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[![Coverage
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Status](https://img.shields.io/codecov/c/github/tidymodels/infer/main.svg)](https://codecov.io/github/tidymodels/infer/?branch=main)
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Status](https://img.shields.io/codecov/c/github/tidymodels/infer/main.svg)](https://app.codecov.io/github/tidymodels/infer/?branch=main)
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The objective of this package is to perform statistical inference using
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an expressive statistical grammar that coheres with the `tidyverse`
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We welcome others helping us make this package as user-friendly and
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efficient as possible. Please review our
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[contributing](https://github.com/tidymodels/infer/blob/main/CONTRIBUTING.md)
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and [conduct](https://github.com/tidymodels/infer/blob/main/CONDUCT.md)
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and [conduct](https://github.com/tidymodels/infer/blob/main/.github/CODE_OF_CONDUCT.md)
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guidelines. By participating in this project you agree to abide by its
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terms.
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cran-comments.md

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## Reverse dependencies
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We checked 9 reverse dependencies (8 from CRAN + 1 from Bioconductor), comparing R CMD check results across CRAN and dev versions of this package, and saw no new problems.
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We checked 6 reverse dependencies (3 from CRAN + 3 from Bioconductor), comparing R CMD check results across CRAN and dev versions of this package, and saw no new problems.

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