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Tools designed to make it easier for users, particularly beginner/intermediate R users to build logistic regression models. Includes comprehensive regression output, variable selection procedures, model validation techniques and a 'shiny' app for interactive model building.
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## Overview
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Installation
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------------
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Tools designed to make it easier for users, particularly
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beginner/intermediate R users to build logistic regression models.
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Includes comprehensive regression output, variable selection procedures,
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model validation techniques and a ‘shiny’ app for interactive model
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building.
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## Installation
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```r
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# Install blorr from CRAN
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devtools::install_github("rsquaredacademy/blorr")
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```
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Shiny App
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---------
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## Shiny App
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Use `blr_launch_app()` to explore the package using a shiny app.
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Articles
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--------
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## Articles
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-[A Short Introduction to the blorr Package](https://blorr.rsquaredacademy.com/articles/introduction.html)
If you encounter a bug, please file a minimal reproducible example using [reprex](https://reprex.tidyverse.org/index.html) on github. For questions and clarifications, use [StackOverflow](https://stackoverflow.com/).
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If you encounter a bug, please file a minimal reproducible example using
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[reprex](https://reprex.tidyverse.org/index.html) on github. For
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questions and clarifications, use
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[StackOverflow](https://stackoverflow.com/).
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Code of Conduct
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---------------
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## Code of Conduct
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Please note that this project is released with a [Contributor Code of Conduct](CONDUCT.md). By participating in this project you agree to abide by its terms.
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Please note that this project is released with a [Contributor Code of
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Conduct](CONDUCT.md). By participating in this project you agree to
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