Confirm works at Ubuntu 14.04 / 12.04.
 knitr  A generalpurpose package for dynamic report generation in R
 rmarkdown  Dynamic Documents for R
 SixSigma  Six Sigma Tools for Quality and Process Improvement
 sqldf  Perform SQL Selects on R Data Frames
 tseries  Time series analysis and computational finance
 quantmod  Quantitative Financial Modeling Framework
 doBy  Groupwise summary statistics, general linear contrasts, population means (leastsquaresmeans), and other utilities
 rJava  LowLevel R to Java Interface to support RWeka and xlsx

 xlsx  Read, write, format Excel 2007 and Excel 97/2000/XP/2003 files
 RCurl  General network (HTTP/FTP/…) client interface for R

 devtools  Tools to make developing R code easier
 gplots  Various R programming tools for plotting data
 ggmap  A package for spatial visualization with Google Maps and OpenStreetMap
 googleVis  Interface between R and the Google Chart Tools
 rworldmap  Mapping global data, vector and raster.
 rgdal  Bindings for the Geospatial Data Abstraction Library

ROracle  Oracle database interface (DBI) driver for R.
ROracle need Oracle Client install, and further additional setup procedure
pls  Multivariate regression methods Partial Least Squares Regression (PLSR), Principal Component Regression (PCR) and Canonical Powered Partial Least Squares (CPPLS).
assertthat  assertthat is an extension to stopifnot() that makes it easy to declare the pre and post conditions that you code should satisfy.
dplyr  A fast, consistent tool for working with data frame like objects, both in memory and out of memory.
data.table  Fast aggregation of large data (e.g. 100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns and a fast file reader (fread). Offers a natural and flexible syntax, for faster development.
earth  Build regression models using the techniques in Friedman’s papers “Fast MARS” and “Multivariate Adaptive Regression Splines”.
kernlab  Kernelbased machine learning methods for classification, regression, clustering, novelty detection, quantile regression and dimensionality reduction. Among other methods kernlab includes Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes and a QP solver.
caret  Classification and Regression Training, Misc functions for training and plotting classification and regression models.
rpart  Recursive Partitioning and Regression Trees
party  A Laboratory for Recursive Partytioning
RWeka  An R interface to Weka (Version 3.7.12). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data preprocessing, classification, regression, clustering, association rules, and visualization.
ipred  Improved predictive models by indirect classification and bagging for classification, regression and survival problems as well as resampling based estimators of prediction error.
randomForest  Breiman and Cutler’s random forests for classification and regression
gbm  Generalized Boosted Regression Models
Cubist  Regression modeling using rules with added instancebased corrections
VGAM  Vector Generalized Linear and Additive Models, An implementation of about 6 major classes of statistical regression models. At the heart of it are the vector generalized linear and additive model (VGLM/VGAM) classes. Currently only fixedeffects models are implemented, i.e., no randomeffects models. Many (150+) models and distributions are estimated by maximum likelihood estimation (MLE) or penalized MLE, using Fisher scoring.
mda  Mixture and flexible discriminant analysis, multivariate adaptive regression splines (MARS), BRUTO…
klaR  Miscellaneous functions for classification and visualization developed at the Fakultaet Statistik, Technische Universitaet Dortmund
e1071  Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien
C50  C5.0 decision trees and rulebased models for pattern recognition.
ROCR  Visualizing the Performance of Scoring Classifiers
ISLR  Data for An Introduction to Statistical Learning with Applications in R