Package: traineR 2.2.0

Oldemar Rodriguez R.

traineR: Predictive (Classification and Regression) Models Homologator

Methods to unify the different ways of creating predictive models and their different predictive formats for classification and regression. It includes methods such as K-Nearest Neighbors Schliep, K. P. (2004) <doi:10.5282/ubm/epub.1769>, Decision Trees Leo Breiman, Jerome H. Friedman, Richard A. Olshen, Charles J. Stone (2017) <doi:10.1201/9781315139470>, ADA Boosting Esteban Alfaro, Matias Gamez, Noelia García (2013) <doi:10.18637/jss.v054.i02>, Extreme Gradient Boosting Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>, Random Forest Breiman (2001) <doi:10.1023/A:1010933404324>, Neural Networks Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Support Vector Machines Bennett, K. P. & Campbell, C. (2000) <doi:10.1145/380995.380999>, Bayesian Methods Gelman, A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (1995) <doi:10.1201/9780429258411>, Linear Discriminant Analysis Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Quadratic Discriminant Analysis Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Logistic Regression Dobson, A. J., & Barnett, A. G. (2018) <doi:10.1201/9781315182780> and Penalized Logistic Regression Friedman, J. H., Hastie, T., & Tibshirani, R. (2010) <doi:10.18637/jss.v033.i01>.

Authors:Oldemar Rodriguez R. [aut, cre], Andres Navarro D. [aut], Ariel Arroyo S. [aut], Diego Jimenez A. [aut]

traineR_2.2.0.tar.gz
traineR_2.2.0.zip(r-4.5)traineR_2.2.0.zip(r-4.4)traineR_2.2.0.zip(r-4.3)
traineR_2.2.0.tgz(r-4.4-any)traineR_2.2.0.tgz(r-4.3-any)
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traineR.pdf |traineR.html✨
traineR/json (API)

# Install 'traineR' in R:
install.packages('traineR', repos = c('https://promidat.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/promidat/trainer/issues

On CRAN:

47 exports 1.60 score 117 dependencies 2 dependents 29 scripts 436 downloads

Last updated 10 months agofrom:b2ecd88434. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-winOKSep 04 2024
R-4.5-linuxOKSep 04 2024
R-4.4-winOKSep 04 2024
R-4.4-macOKSep 04 2024
R-4.3-winOKSep 04 2024
R-4.3-macOKSep 04 2024

Exports:categorical.predictive.powerconfusion.matrixcontr.dummycontr.metriccontr.ordinalgeneral.indexesimportance.plotnumerical.predictive.powerplot.prmdtpredict.ada.prmdtpredict.adabag.prmdtpredict.bayes.prmdtpredict.gbm.prmdtpredict.glm.prmdtpredict.glmnet.prmdtpredict.knn.prmdtpredict.lda.prmdtpredict.neuralnet.prmdtpredict.nnet.prmdtpredict.qda.prmdtpredict.randomForest.prmdtpredict.rpart.prmdtpredict.svm.prmdtpredict.xgb.Booster.prmdtprediction.variable.balanceprint.indexes.prmdtprint.prediction.prmdtprint.prmdtROC.areaROC.plotscalertrain.adatrain.adabagtrain.bayestrain.gbmtrain.glmtrain.glmnettrain.knntrain.ldatrain.neuralnettrain.nnettrain.qdatrain.randomForesttrain.rparttrain.svmtrain.xgboostvarplot

Dependencies:adaadabagbase64encbitopsbslibcachemcaretcaToolsclasscliclockcodetoolscolorspaceConsRankcpp11data.tableDerivdiagramdigestdoParalleldplyre1071evaluatefansifarverfastmapfontawesomeforeachfsfuturefuture.applygbmgenericsggplot2glmnetglobalsgluegowergplotsgtablegtoolshardhathighrhtmltoolshtmlwidgetsigraphipredisobanditeratorsjquerylibjsonliteKernSmoothkknnknitrlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmemoisemgcvmimeModelMetricsmunsellneuralnetnlmennetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6randomForestrappdirsRColorBrewerRcppRcppEigenrecipesreshape2rglrlangrlistrmarkdownROCRrpartsassscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetinytextzdbutf8vctrsviridisLitewithrxfunxgboostXMLyaml

Readme and manuals

Help Manual

Help pageTopics
categorical.predictive.powercategorical.predictive.power
confusion.matrixconfusion.matrix
contr.dummycontr.dummy
contr.metriccontr.metric
contr.ordinalcontr.ordinal
general.indexesgeneral.indexes
importance.plotimportance.plot
numerical.predictive.powernumerical.predictive.power
Plotting prmdt modelsplot.prmdt
predict.ada.prmdtpredict.ada.prmdt
predict.adabag.prmdtpredict.adabag.prmdt
predict.bayes.prmdtpredict.bayes.prmdt
predict.gbm.prmdtpredict.gbm.prmdt
predict.glm.prmdtpredict.glm.prmdt
predict.glmnet.prmdtpredict.glmnet.prmdt
predict.knn.prmdtpredict.knn.prmdt
predict.lda.prmdtpredict.lda.prmdt
predict.neuralnet.prmdtpredict.neuralnet.prmdt
predict.nnet.prmdtpredict.nnet.prmdt
predict.qda.prmdtpredict.qda.prmdt
predict.randomForest.prmdtpredict.randomForest.prmdt
predict.rpart.prmdtpredict.rpart.prmdt
predict.svm.prmdtpredict.svm.prmdt
predict.xgb.Boosterpredict.xgb.Booster.prmdt
prediction.variable.balanceprediction.variable.balance
Printing prmdt index objectprint.indexes.prmdt
Printing prmdt prediction objectprint.prediction.prmdt
Printing prmdt modelsprint.prmdt
ROC.areaROC.area
ROC.plotROC.plot
scalerscaler
train.adatrain.ada
train.adabagtrain.adabag
train.bayestrain.bayes
train.gbmtrain.gbm
train.glmtrain.glm
train.glmnettrain.glmnet
train.knntrain.knn
train.ldatrain.lda
train.neuralnettrain.neuralnet
train.nnettrain.nnet
train.qdatrain.qda
train.randomForesttrain.randomForest
train.rparttrain.rpart
train.svmtrain.svm
train.xgboosttrain.xgboost
Predictive (Classification and Regression) Models HomologatortraineR
Plotting prmdt ada modelsvarplot