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Marvin Wright
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release new CRAN version
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NEWS.md

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##### Version 0.4.0
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* New CRAN version. New CRAN versions will be 0.x.0, development versions 0.x.y
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##### Version 0.3.9
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* Reduce memory usage of savest forest objects (changed child.nodeIDs interface)
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##### Version 0.3.8
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* Remove tuning functions, please use mlr or caret.
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* Remove tuning functions, please use mlr or caret
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##### Version 0.3.7
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* Fix bug with alternative interface and prediction

ranger-r-package/ranger/DESCRIPTION

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Package: ranger
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Type: Package
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Title: A Fast Implementation of Random Forests
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Version: 0.3.9
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Date: 2016-03-22
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Version: 0.4.0
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Date: 2016-04-07
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Author: Marvin N. Wright
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Maintainer: Marvin N. Wright <[email protected]>
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Description: A fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles of
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classification, regression, survival and probability prediction trees are supported. Data from
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genome-wide association studies can be analyzed efficiently. In addition to data frames, datasets of
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class 'gwaa.data' (R package GenABEL) can be directly analyzed.
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Description: A fast implementation of Random Forests, particularly suited for high dimensional data. Ensembles
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of classification, regression, survival and probability prediction trees are supported. Data from
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genome-wide association studies can be analyzed efficiently. In addition to data frames, datasets
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of class 'gwaa.data' (R package GenABEL) can be directly analyzed.
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License: GPL-3
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Imports: Rcpp (>= 0.11.2)
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LinkingTo: Rcpp

ranger-r-package/ranger/NEWS

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##### Version 0.3.9
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##### Version 0.4.0
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* Reduce memory usage of savest forest objects (changed child.nodeIDs interface)
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##### Version 0.3.8
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* Remove tuning functions, please use mlr or caret.
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##### Version 0.3.7
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* Fix bug with alternative interface and prediction
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* Small fixes
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##### Version 0.3.6
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* Add keep.inbag option to track in-bag counts
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* Add option sample.fraction for fraction of sampled observations
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##### Version 0.3.5
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* Add tree-wise split.select.weights
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##### Version 0.3.4
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* Add predict.all option in predict() to get individual predictions for each tree for classification and regression
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* Small changes in documentation
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##### Version 0.3.3
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* Add case-specific random forests
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##### Version 0.3.2
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* Add case weights (weighted bootstrapping or subsampling)
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##### Version 0.3.1
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* Remove tuning functions, please use mlr or caret
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* Catch error of outdated gcc not supporting C++11 completely
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* Bug fixes
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##### Version 0.3.0
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* Allow the user to interrupt computation from R

source/src/version.h

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#ifndef RANGER_VERSION
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#define RANGER_VERSION "0.3.9"
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#define RANGER_VERSION "0.4.0"
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#endif

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