CRAN/E | R Packages from Peter Carbonetto

Peter Carbonetto

Author of 13 R packages

Quick info

Peter Carbonetto has worked on 13 packages so far. In total, Peter Carbonetto has worked with 51 other authors on those packages. Impressive teamwork!

Packages overview

EbayesThresh
MAPITR
ashr
bmass
ebnm
fastTopics
fastglmpca
flashier
mashr
mixsqp
susieR
varbvs
workflowr

Package details

EbayesThresh

Empirical Bayes Thresholding and Related Methods

Bernard W. Silverman , Ludger Evers , Kan Xu , Peter Carbonetto , Matthew Stephens

MAPITR

MArginal ePIstasis Test for Regions

Michael Turchin , Gregory Darnell , Lorin Crawford , Sohini Ramachandran , Peter Carbonetto

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

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

Colleagues

Bernard W. Silverman
Ludger Evers
Kan Xu
Matthew Stephens
Michael Turchin
Gregory Darnell
Lorin Crawford
Sohini Ramachandran
Chaoxing Dai
David Gerard
Mengyin Lu
Lei Sun
Jason Willwerscheid
Nan Xiao
Mazon Zeng
Andrew Goldstein
Yusha Liu
Kevin Luo
Kushal Dey
Joyce Hsiao
Abhishek Sarkar
Anthony Hung
Xihui Lin
Paul C. Boutros
Minzhe Wang
Tracy Ke
Eric Weine
Wei Wang
Gao Wang
Sarah Urbut
Yuxin Zou
Yunqi Yang
Sam Roweis
David Hogg
Jo Bovy
Youngseok Kim
Mihai Anitescu
Jean Morrison
Kaiqian Zhang
John Blischak
Luke Zappia
Pierre Formont
Tim Trice
Jiaxiang Li
Michael J. Kane
Anh Tran
Sydney Purdue
Giorgio Comai
Zaynaib Giwa
Xiongbing Jin
Yihui Xie