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v0.2.0
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DESCRIPTION

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Title: Approximate False Positive Rate Control in Selection Frequency for Random
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Forest
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Version: 0.2.0
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Date: 2018-02-16
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Date: 2018-07-20
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Authors@R: c(
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person("Tom", "Wilson", , "tpw2@aber.ac.uk", c("aut", "cre")),
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person("Jasen", "Finch", , "jsf9@aber.ac.uk", "aut"))
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Description: Approximate false positive rate control in selection frequency for
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random forest using the methods described by Ender Konukoglu and Melanie Ganz (2015) <arXiv:1410.2838>.
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random forest using the methods described by Ender Konukoglu and Melanie Ganz (2014) <arXiv:1410.2838>.
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Methods for calculating the selection frequency threshold at false positive rates
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and selection frequency false positive rate feature selection.
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Imports:

NEWS.md

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### NEWS
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#### V0.2.0
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- Significant reduction in compute time for calculating false positive rates by sampling only unique selection frequencies
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- Addition of `tidy` tools (dplyr, tibble, magrittr)
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#### V0.1.1
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- `internals` now implemented in C++ _via_ `Rcpp` thanks to Dr Jasen Finch (@jasenfinch)

README.md

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[![Project Status: Active - The project has reached a stable, usable state and is being actively developed.](http://www.repostatus.org/badges/latest/active.svg)](http://www.repostatus.org/#active) [![Build Status](https://travis-ci.org/aberHRML/forestControl.svg?branch=master)](https://travis-ci.org/aberHRML/forestControl) [![Build status](https://ci.appveyor.com/api/projects/status/5ib1y4o1vqo8x12l/branch/master?svg=true)](https://ci.appveyor.com/project/wilsontom/forestcontrol/branch/master) [![codecov](https://codecov.io/gh/aberHRML/forestControl/branch/master/graph/badge.svg)](https://codecov.io/gh/aberHRML/forestControl) ![License](https://img.shields.io/badge/license-MIT-blue.svg "MIT") [![DOI](https://zenodo.org/badge/81975326.svg)](https://zenodo.org/badge/latestdoi/81975326)
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[![CRAN](https://www.r-pkg.org/badges/version/forestControl)](https://cran.r-project.org/web/packages/forestControl/index.html) ![downloads](https://cranlogs.r-pkg.org/badges/forestControl)
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[![CRAN](https://www.r-pkg.org/badges/version/forestControl)](https://cran.r-project.org/web/packages/forestControl/index.html)
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![total downloads](https://cranlogs.r-pkg.org/badges/grand-total/forestControl?color=red)
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> __Approximate False Positive Rate Control in Selection Frequency for Random Forest__
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### Installation

cran-comments.md

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### Test Environments
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* ubuntu-gcc-devel (r-hub)
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* ubuntu-gcc-release (r-hub)
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* debian-gcc-devel (r-hub)
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* windows-x86_64-release (r-hub)
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* windows-x86_64-devel (r-hub)
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* ubuntu-gcc r-devel (r-hub)
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* ubuntu-gcc r-release (r-hub)
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* debian-gcc r-devel (r-hub)
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* windows server 2008 R2 SP1 r-release (r-hub)
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* windows server 2008 R2 SP1 r-devel (r-hub)
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* ubuntu 16.04, R 3.4.3 (local-install)
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* ubuntu 14.04, R release (Travis CI)
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* ubuntu 14.04, R devel (Travis CI)
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* Windows Server 2012 R2 x64, R release (AppVeyor CI)
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* ubuntu 18.04 LTS, R-3.4.4 (local-install)
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* ubuntu 14.04, r-release (Travis CI)
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* ubuntu 14.04, r-devel (Travis CI)
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* Windows Server 2012 R2 x64, r-release (AppVeyor CI)
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### R CMD check results
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inst/forestControl-manual.pdf

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man/fpr_fs.Rd

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man/selection_freqs.Rd

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