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# Author: Babak Naimi, naimi.b@gmail.com
# Date (last update): July 2017
# Version 1.1
# Licence GPL v3
#-------------
methodInfo <- list(name=c('rf','RF','randomForest','rforest'),
packages='randomForest',
modelTypes = c('pa','pb','ab','n'),
fitParams = list(formula='standard.formula',data='sdmDataFrame'),
fitSettings = list(ntree=1000,
replace=TRUE,
importance=TRUE
),
fitFunction = 'randomForest',
settingRules = NULL,
tuneParams = NULL,
predictParams=list(object='model',newdata='sdmDataFrame'),
predictSettings=list(type='response'),
predictFunction='predict',
#------ metadata (optional):
title='Random Forest',
creator='Babak Naimi',
authors=c('Andy Liaw','Matthew Wiener'), # authors of the main method
email='naimi.b@gmail.com',
url='http://r-gis.net',
citation=list(bibentry('Article',title = "Random Forests",
author = as.person("L. Breiman [aut]"),
year = "2001",
journal = "Machine Learning",
number="45(1)",
pages="5-32"
)
),
description="implements Breiman's random forest algorithm (based on Breiman and Cutler's original Fortran code) for classification and regression."
)
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