R project for statistical computing
R is a free software environment for statistical computing and graphics
R is an integrated suite of software facilities for data manipulation, calculation and graphical display. It includes
 an effective data handling and storage facility,
 a suite of operators for calculations on arrays, in particular matrices,
 a large, coherent, integrated collection of intermediate tools for data analysis,
 graphical facilities for data analysis and display either onscreen or on hardcopy, and
 a welldeveloped, simple and effective programming language which includes conditionals, loops, userdefined recursive functions and input and output facilities.
Many users think of R as a statistics system. We prefer to think of it of an environment within which statistical techniques are implemented. R can be extended (easily) via packages. There are about eight packages supplied with the R distribution and many more are available through the CRAN family of Internet sites covering a very wide range of modern statistics.
The term “environment” is intended to characterize it as a fully planned and coherent system, rather than an incremental accretion of very specific and inflexible tools, as is frequently the case with other data analysis software.
R, like S, is designed around a true computer language, and it allows users to add additional functionality by defining new functions. Much of the system is itself written in the R dialect of S, which makes it easy for users to follow the algorithmic choices made. For computationallyintensive tasks, C, C++ and Fortran code can be linked and called at run time. Advanced users can write C code to manipulate R objects directly.
R has its own LaTeXlike documentation format, which is used to supply comprehensive documentation, both online in a number of formats and in hardcopy.
R project for statistical computing 2018 Projects

Haoming Jiang
A Major Update for HUGE and SAMWith the recent progress in the theoretical field of sparse learning problems, current R packages are lagging behind the cutting edge research. We... 
Gregory Brownson
A Shiny User Interface to RobStatTMProject Summary The goal of this project is to develop a pointandclick graphical user interface (GUI) for the RobStatTM package. Both the UI and... 
vivekktiwari
Animint2 Designer ManualAnimint2 is a rewrite of Animint which is an R package for making interactive animated data visualization on the web using ggplot syntax and two new... 
Changcheng Li
Automatic Differentiation in R through JuliaAutomatic differentiation (AD) is a set of techniques to calculate derivatives automatically. It generally outperforms nonAD methods like symbolic... 
Yanbo Xu
Bayesian analysis of individualized treatment response curves on EHR time seriesWith the fast adoption of Electronic Health Records (EHR) in modern healthcare systems, various machine learning methods are developed to conduct... 
Thiloshon Nagarajah
bdclean: User friendly biodiversity data cleaning pipelineUntil recently, biodiversity data was scattered in different formats in natural history collections, survey reports, and in literature. In the last... 
Ashwin Agrawal
Biodiversity Data UtilitiesThe aim of the project is to improve the current functionality of existing data management and cleaning packages for Biodiversity in R and integrate... 
Andrew Connell
changepoint.onlineThere are many R packages available for offline changepoint detection but, to the knowledge of myself and the mentors, only one for online change... 
Povilas Gibas
Darwinazing biodiversity data in RDarwin Core (DwC) is a standard maintained by the Darwin Core maintenance group. It includes a glossary of terms (in other contexts these might be... 
Wenjing Wang
Diagnostic statistics and visualization for quantile regressionThis project aims to extend diagnostic statistics in the R package quokar. Currently in this package we have several methods such as absolute... 
Apostolos Chalkis
Efficient R tools for geometrical statisticsVolume computation of convex polytopes and sampling algorithms are very useful in many scientific fields and applications. The VolEsti is a C++... 
Ivan Pavlov
Extending 'rvw' and reintegrating vowpal wabbitVowpal Wabbit is an online machine learning system that is known for its speed and scalability and is widely used in research and industry. The goal... 
Johan Larsson
Fast Sparse Linear Models for Big Data with SAGAThere are many alternatives for L1regularized generalized linear models in R, but none that utilizes the efficient SAGA algorithm despite its... 
Xin Chen
Fast Symbolic Computation in R with SymEngineA computer algebra system(CAS) is a useful tool for researchers and scientists. Some tools exists for algebra compution are either fewfeatured or... 
Jiasheng Zhu
Firedata  Enabling easy cloud stats through FirestoreThis project will integrate with Google Cloud Firestore and also update the current Firedata package with the newest Firebase APIs and features. 
Paul
Firedata  Implementing Web Functionalities for Shiny and OpenCPUThis project aims to integrate Firedata into a wide array of statistical web applications. We thereby not only add additional authorization functions... 
Luis Damiano
Full Bayesian Inference for Hidden Markov ModelsWe create an R Package to run full Bayesian inference on Hidden Markov Models (HMM) using the probabilistic programming language Stan. By providing... 
Yuze Zhou
GEE and QIF for clustered data regressionThis project aims at developing a new R package for clustered data regression. Details include: Rewrite basic GEE method based on Rcpp and... 
Parismita Das
Max Margin Interval TreesThere are few R packages available for interval regression, a machine learning problem which is important in genomics and medicine. Like usual... 
Anthony_AC
Performance Analytics Standard ErrorsThe current finance industry practice in reporting risk and performance measure estimates of assets and portfolios does not typically include... 
Tim Yu
R Interface to Ideogram.js LibraryThis project aims to provide an R interface to Ideogram.js, integrate it with bioconductor infrastructures and possibly provide an interactive... 
Ignasi Montero Serra
rOceans: an R Package for integrating spatial trends in biodiversity, human stressors, and conservation effortsrOceans will be an R package that serves as a platform for integrating multiple spatial datasets on marine biodiversity, humandriven stressors, and... 
Dries Cornilly
rTrawlTrawl processes are continuoustime processes exhibiting autocorrelation. They are determined by a Lévy seed and trawl function, which can be viewed... 
Marlon E. Cobos
Species range maps in RThe species range maps project is motivated by the importance of information about species distribution for processes of conservation planning and...