ashr: Methods for Adaptive Shrinkage, using Empirical Bayes

Canonical link: https://rscholar.com/pkg/ashr

Matthew Stephens • Peter Carbonetto • Chaoxing Dai • David Gerard • Mengyin Lu • Lei Sun • Jason Willwerscheid • Nan Xiao • Mazon Zeng • View description and downloads View dependencies GitHub project

2016 Published

2.2-63 Version

0 Citations

9 Authors

Referenced by ⇅	Year
MixTwice: Large-Scale Hypothesis Testing by Variance Mixing (Version 2.0)	2021
ebnm: Solve the Empirical Bayes Normal Means Problem (Version 1.1-2)	2022
fastTopics: Fast Algorithms for Fitting Topic Models and Non-Negative Matrix Factorizations to Count Data (Version 0.6-192)	2022
flashier: Empirical Bayes Matrix Factorization (Version 1.0.7)	2023
ldsep: Linkage Disequilibrium Shrinkage Estimation for Polyploids (Version 2.1.5)	2020
limorhyde2: Quantify Rhythmicity and Differential Rhythmicity in Genomic Data (Version 0.1.0)	2022
mashr: Multivariate Adaptive Shrinkage (Version 0.2.79)	2020
ncvreg: Regularization Paths for SCAD and MCP Penalized Regression Models (Version 3.14.3)	2009
palasso: Sparse Regression with Paired Covariates (Version 1.0.0)	2018

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