Quick info
Matthew Stephens has worked on 13 packages so far. In total, Matthew Stephens has worked with 48 other authors on those packages. Impressive teamwork!
Packages overview
Package details
EbayesThresh | Empirical Bayes Thresholding and Related Methods Bernard W. Silverman , Ludger Evers , Kan Xu , Peter Carbonetto , Matthew Stephens |
ashr | Methods for Adaptive Shrinkage, using Empirical Bayes Matthew Stephens , Peter Carbonetto , Chaoxing Dai , David Gerard , Mengyin Lu , Lei Sun , Jason Willwerscheid , Nan Xiao , Mazon Zeng |
bmass | Bayesian Multivariate Analysis of Summary Statistics Michael Turchin , Matthew Stephens , Peter Carbonetto |
ebnm | Solve the Empirical Bayes Normal Means Problem Jason Willwerscheid , Matthew Stephens , Peter Carbonetto , Andrew Goldstein , Yusha Liu |
etrunct | Computes Moments of Univariate Truncated t Distribution |
fastTopics | Fast Algorithms for Fitting Topic Models and Non-Negative Matrix Factorizations to Count Data Peter Carbonetto , Kevin Luo , Kushal Dey , Joyce Hsiao , Abhishek Sarkar , Anthony Hung , Xihui Lin , Paul C. Boutros , Minzhe Wang , Tracy Ke , Matthew Stephens |
fastglmpca | Fast Algorithms for Generalized Principal Component Analysis Eric Weine , Peter Carbonetto , Matthew Stephens |
flashier | Empirical Bayes Matrix Factorization Jason Willwerscheid , Peter Carbonetto , Wei Wang , Matthew Stephens , Eric Weine , Gao Wang |
mashr | Multivariate Adaptive Shrinkage Matthew Stephens , Sarah Urbut , Gao Wang , Yuxin Zou , Yunqi Yang , Sam Roweis , David Hogg , Jo Bovy , Peter Carbonetto |
mixsqp | Sequential Quadratic Programming for Fast Maximum-Likelihood Estimation of Mixture Proportions Youngseok Kim , Peter Carbonetto , Mihai Anitescu , Matthew Stephens , Jason Willwerscheid , Jean Morrison |
susieR | Sum of Single Effects Linear Regression Gao Wang , Yuxin Zou , Kaiqian Zhang , Peter Carbonetto , Matthew Stephens |
varbvs | Large-Scale Bayesian Variable Selection Using Variational Methods Peter Carbonetto , Matthew Stephens , David Gerard |
workflowr | A Framework for Reproducible and Collaborative Data Science John Blischak , Peter Carbonetto , Matthew Stephens , Luke Zappia , Pierre Formont , Tim Trice , Jiaxiang Li , Michael J. Kane , Anh Tran , Sydney Purdue , Giorgio Comai , Zaynaib Giwa , Xiongbing Jin , Yihui Xie |