table of proposed coding projects

Mentors, please edit this wiki page, and add your ideas to the table below.

Students, please look for a project that interests you in the table below. Before emailing project mentors, please do at least one project Test and post a link to your solution on the proposal’s wiki page.

Proposal	Status	Mentors	Non-R languages?
MENTORS: Copy this template!
sentometrics	Potential student	S. Borms, D. Ardia, K. Bluteau	C++
Adding changes in second order structure to changepoint package.	Potential student	R Killick, J-L Chapman	C
Neural Network package validation	complete	P Kiener, C Dutang
Animated interactive ggplots	need students	TD Hocking, F Khan	JavaScript
RBerkeley	need students	B Rudis, J Ryan, TD Hocking	C/C++
iregnet on CRAN	need students	TD Hocking, A Khare	C++
Segmentor3IsBack	need students	TD Hocking, G Rigaill	C++
data.table	need students	Matt Dowle	C
xgboost loss functions	need students	P Cho, TD Hocking	C++
RcppMLPACK	need students	James Balamuta, Ryan Curtin, Dirk Eddelbuettel	R, C++
highfrequency	Potential student	Kris Boudt, Dirk Eddelbuettel, Scott Payseur	R, C++
Fuzz testing	need students	A Groce, J Hester	C++
Optimal Partitioning Algorithm for changepoint detection	need students	TD Hocking, G Rigaill	C++
COIN-OR Bridge and Solver	need students	H. W. Borchers, tbd.	C/C++, Python, Julia
Translator from ggplot2 to Vega Lite	need students	Haley Jeppson, Ian Lyttle, Heike Hofmann	JavaScript (?), Python (?)
R Code Optimizer	complete	N. Wolovick, Yihui Xie	Maybe C
ellipsenm: Grinnellian ecological niches and ellipsoids in R	Potential student	Luis Osorio-Olvera, Vijay Barve, Narayani Barve
ARPM (Advanced Risk and Portfolio Management) Project	Potential student	Erol Biceroglu	Python, Matlab
Enhancing Visualizations for Biodiversity Data	need students	Thiloshon Nagarajah, Vijay Barve, Tomer Gueta	JavaScript
Developing a QA framework for the bdverse	need students	Tomer Gueta, Thiloshon Nagarajah, Vijay Barve
sgdnet: efficient regularized GLMs for big data	potential student	Michael Weylandt, Johan Larsson	C++
Adding algo TCA and Market Impact models to the blotter package	multiple interested students	Jasen Mackie, Brian Peterson
Multiple plotting engines for PerformanceAnalytics	needs students	Peter Carl, Brian Peterson, Justin Shea
Optimization solver additions for PortfolioAnalytics	needs students	Brian Peterson, Peter Carl, Ross Bennett
Geometric sampling,-volume and optimization	Potential students	Vissarion Fysikopoulos, Elias Tsigaridas, Zafeirakis Zafeirakopoulos	C++
clustRviz: Dynamic Visualization and Fast Computation for Convex Clustering	Students needed	Michael Weylandt, Genevera Allen	RcppEigen / Plotly (JS)
Data Driven Exploration of the R Community	Potential student	Claudia Vitolo, Rick Pack, H.W. Borchers	HTML, Javascript
gravitas: exploring probability distributions for bivariate temporal granularities, in large spatiotemporal sensor data	Potential student	Di Cook, Antony Unwin	R
Implementing biodiversity data checks for the bdchecks package	need students	Tomer Gueta, Thiloshon Nagarajah, Vijay Barve
Add Subsampling to Aster Models	needs students	Charles J. Geyer and Ruth G. Shaw	C
MoMA: Modern Multivariate Analysis in R	Potential student	Michael Weylandt, Genevera Allen	Rcpp / Shiny
Parallel Coordinate Plots in ggplot2	needs student	Heike Hofmann, Dianne Cook

Project ideas have a ‘Status’ column which describes the current status of mentor and student interest. Project ideas where no student has yet contacted mentors should be listed as ‘needs students’. Project ideas where one or more potential students are communicating with mentors should have a status of ‘potential student’ or ‘two[three,etc] potential students. You can still communicate your interest to mentors to apply to projects with status “potential student” – that implies that there is another student who has already shown some capability for that project (see below for more details on how we evaluate applications). Projects that need to identify another mentor (e.g. to find a mentor with a specific skill, or from a different institution) should be marked with a status of ‘need mentor’ and the idea page should provide details in the ‘Mentors’ section.

All student applications will be discussed by the R mentor community, and proposals will be ranked considering factors such as quality, difficulty, and impact for the R community. Slots are a finite resource granted to R by Google, and only the best proposals will get chosen. In prior years, R has received 4-5 times more applications than slots, so application quality is key.

Students, if you have an idea for an R package coding project that is not listed above, please try to find mentors by posting a description of your project idea on the r-gsoc google group. If you find mentors, feel free to add your project idea to this wiki. You should NOT submit any project applications to Google without finding 2 mentors for your project proposal.