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andyliaw-mrkcran-robot
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cran-robot
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version 4.7-1.1
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‎DESCRIPTION

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Package: randomForest
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Title: Breiman and Cutler's Random Forests for Classification and
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Regression
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Version: 4.7-1
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Version: 4.7-1.1
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Date: 2022-01-24
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Depends: R (>= 4.1.0), stats
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Suggests: RColorBrewer, MASS
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License: GPL (>= 2)
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URL: https://www.stat.berkeley.edu/~breiman/RandomForests/
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NeedsCompilation: yes
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Packaged: 2022-01-29 02:41:20 UTC; andy
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Packaged: 2022-05-23 08:06:39 UTC; hornik
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Repository: CRAN
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Date/Publication: 2022-02-03 07:50:02 UTC
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Date/Publication: 2022-05-23 08:27:49 UTC

‎MD5

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393a5ca445f6965873eca0259a17f833 *COPYING
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b66e5bd503b54c4e04aa6dc9194f8da6 *DESCRIPTION
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c7fb0874404c16675bf24630a11e0748 *DESCRIPTION
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978decaa39e75944d88ab2dbe33a726a *NAMESPACE
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a025b98c25cb7761c0dbf3f421618a4d *R/MDSplot.R
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eae0c348160c0e1f5c5140169c7610be *R/classCenter.R
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143dac20c44a22e3bd132cad4385e90e *R/varImpPlot.R
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18f94384910772d7babc8354b4ebae17 *R/varUsed.R
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a54ba14b0cb6cc15e4b7687ead9a2bf9 *R/zzz.R
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6d430e97b1da9c1b19eabda685c248b3 *data/imports85.rda
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a7f95178c626d8f7830768e75f0961db *data/imports85.rda
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980aa22e77a4fccedc05d253b65645be *inst/CITATION
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9e00469f24af18d37dfe36b1ff57654e *inst/NEWS
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b9b69f61e9ed079e1d9d84df6360d522 *man/MDSplot.Rd
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4fcbc72dd2475ff32f5a348bfa71af41 *man/classCenter.Rd
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99eb4d3074d8991be45730999b805ebc *man/combine.Rd
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d5f3014c1eb53de779654d021027cbf0 *man/getTree.Rd
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a93fad813c51f713fd94c6fd3a46ce07 *man/grow.Rd
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e25dffb14a3dc288fda639b762757595 *man/combine.Rd
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3e2a6b978a69049e7ea7dc7a306c92fd *man/getTree.Rd
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cd05a7ccb5857db3a60da26503a22ef9 *man/grow.Rd
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3a63f7f925c1b4ca1bf805c5c7eca4f0 *man/importance.Rd
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3720f27c0c909c615d6d7f99826e1d3b *man/imports85.Rd
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c901b3cb1b2ad299574e76e5d80859ed *man/margin.Rd
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288befa4e77e572480dab78b686411f0 *man/na.roughfix.Rd
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8ecd590e5b87afb8e84058adea3f8415 *man/outlier.Rd
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5f3f517b199cd1fb6e2db84e21bf0719 *man/partialPlot.Rd
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5b4f4430e1a2582d5a489e1ac2c724b4 *man/partialPlot.Rd
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e0493ce4c5109e96c42cf9dec0e2a018 *man/plot.randomForest.Rd
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23088ecd37387e89b75598b51b1dc74d *man/predict.randomForest.Rd
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818807eb7e9fcde4915d780d58dfa875 *man/randomForest.Rd
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a7be345bb929c5939e61d85c318b1609 *man/predict.randomForest.Rd
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e1c14d80e0d7f71547c18c3339817868 *man/randomForest.Rd
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49f8f77584e8759352cc1911c86c90c8 *man/rfImpute.Rd
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c81b1c719dcdc878c80adb4353f831ae *man/rfNews.Rd
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ac3d31008c56add22352b609f8cea599 *man/rfcv.Rd
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f5431e1a30968d9fd31f7b964f9384d1 *man/treesize.Rd
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2ce6587f2ac0f3cf11e6407a6f4db6f6 *man/treesize.Rd
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e7180386828b0d248c172a03915fc187 *man/tuneRF.Rd
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ef5c9e454eb4478690b4e292f172c94b *man/varImpPlot.Rd
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4ef6a1e04cf7e13580922c4f5769de09 *man/varImpPlot.Rd
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1638c2a6ba3ef89fe83321470c6d9386 *man/varUsed.Rd
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8ddc24e3050c344581787ce7ed10d7a5 *src/classTree.c
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adde4a205871318b538e448e6b8db090 *src/init.c

‎data/imports85.rda

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‎man/combine.Rd

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\seealso{\code{\link{randomForest}}, \code{\link{grow}}}
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\author{Andy Liaw \email{andy\_liaw@merck.com}}
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\author{Andy Liaw \email{andy_liaw@merck.com}}
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\examples{
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data(iris)

‎man/getTree.Rd

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## Look at the third trees in the forest.
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getTree(randomForest(iris[,-5], iris[,5], ntree=10), 3, labelVar=TRUE)
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}
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\author{Andy Liaw \email{andy\_liaw@merck.com}}
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\author{Andy Liaw \email{andy_liaw@merck.com}}
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\keyword{tree}

‎man/grow.Rd

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\seealso{\code{\link{combine}}, \code{\link{randomForest}}}
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\author{Andy Liaw \email{andy\_liaw@merck.com}}
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\author{Andy Liaw \email{andy_liaw@merck.com}}
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\examples{
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data(iris)

‎man/partialPlot.Rd

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\seealso{\code{\link{randomForest}}}
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\author{Andy Liaw \email{andy\_liaw@merck.com}}
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\author{Andy Liaw \email{andy_liaw@merck.com}}
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\examples{
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data(iris)

‎man/predict.randomForest.Rd

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Breiman, L. (2001), \emph{Random Forests}, Machine Learning 45(1),
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}
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\author{ Andy Liaw \email{andy\_liaw@merck.com} and Matthew Wiener
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\email{matthew\_wiener@merck.com}, based on original Fortran code by
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\author{ Andy Liaw \email{andy_liaw@merck.com} and Matthew Wiener
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\email{matthew_wiener@merck.com}, based on original Fortran code by
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Leo Breiman and Adele Cutler.}
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\seealso{\code{\link{randomForest}}}

‎man/randomForest.Rd

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Breiman, L (2002), ``Manual On Setting Up, Using, And Understanding
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Random Forests V3.1'', \url{https://www.stat.berkeley.edu/~breiman/Using_random_forests_V3.1.pdf}.
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}
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\author{Andy Liaw \email{andy\_liaw@merck.com} and Matthew Wiener
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\email{matthew\_wiener@merck.com}, based on original Fortran code by
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\author{Andy Liaw \email{andy_liaw@merck.com} and Matthew Wiener
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\email{matthew_wiener@merck.com}, based on original Fortran code by
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Leo Breiman and Adele Cutler.}
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\seealso{\code{\link{predict.randomForest}}, \code{\link{varImpPlot}}}

‎man/treesize.Rd

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\seealso{\code{\link{randomForest}}}
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\author{Andy Liaw \email{andy\_liaw@merck.com}}
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\author{Andy Liaw \email{andy_liaw@merck.com}}
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\examples{
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‎man/varImpPlot.Rd

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varImpPlot(mtcars.rf)
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}
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\author{Andy Liaw \email{andy\_liaw@merck.com}}
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\author{Andy Liaw \email{andy_liaw@merck.com}}
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\keyword{regression}
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\keyword{classif}
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\keyword{tree}

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