NbClust 3.0 (CRAN)

cluster 2.0.1 (CRAN)

poLCA 1.4.1 (CRAN)

MASS 7.3-40 (CRAN)

nnet 7.3-9 (CRAN)

dplyr 0.4.1 (CRAN)

class 7.3-12 (CRAN)

rpart 4.1-9 (CRAN)

rpart.plot 1.5.2 (CRAN)

partykit 1.0-1 (CRAN)

party 1.0-2- (CRAN)

randomForest 4.6-10 (CRAN)

caret 6.0-47 (CRAN)

C50 0.1.0-24 (CRAN)

glmnet 2.0-2 (CRAN)

gbm 2.1.1 (CRAN)

xgboost 0.4-2 (CRAN)

h2o 3.0.0.30 (CRAN)

The Elements of Statistical Learning. Data Mining, Inference, and Prediction, Springer by Trevor Hastie, Robert Tibshirani, Jerome Friedman in 2009 at http://statweb.stanford.edu/~tibs/ElemStatLearn/

An Introduction to Statistical Learning, Springer by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani in 2013 at http://www-bcf.usc.edu/~gareth/ISL/

R and Data Mining: Examples and Case Studies by Yanchang Zhao at http://www.rdatamining.com/docs/r-and-data-mining-examples-and-case-studies

Machine learning benchmarks by Szilard Pafka in 2015 at https://github.com/szilard/benchm-ml