susieR: Sum of Single Effects Linear Regression

Implements methods for variable selection in linear regression based on the "Sum of Single Effects" (SuSiE) model, as described in Wang et al (2020) <doi:10.1101/501114> and Zou et al (2021) <doi:10.1101/2021.11.03.467167>. These methods provide simple summaries, called "Credible Sets", for accurately quantifying uncertainty in which variables should be selected. The methods are motivated by genetic fine-mapping applications, and are particularly well-suited to settings where variables are highly correlated and detectable effects are sparse. The fitting algorithm, a Bayesian analogue of stepwise selection methods called "Iterative Bayesian Stepwise Selection" (IBSS), is simple and fast, allowing the SuSiE model be fit to large data sets (thousands of samples and hundreds of thousands of variables).

Version:	0.14.2
Depends:	R (≥ 3.0.0)
Imports:	methods, graphics, grDevices, stats, Matrix, matrixStats, mixsqp, reshape, crayon, ggplot2
Suggests:	curl, testthat, microbenchmark, knitr, rmarkdown, Rfast, cowplot
Published:	2025-06-05
DOI:	10.32614/CRAN.package.susieR
Author:	Gao Wang [aut], Yuxin Zou [aut], Kaiqian Zhang [aut], Peter Carbonetto [aut, cre], Matthew Stephens [aut]
Maintainer:	Peter Carbonetto <peter.carbonetto at gmail.com>
BugReports:	https://github.com/stephenslab/susieR/issues
License:	BSD_3_clause + file LICENSE
URL:	https://github.com/stephenslab/susieR
NeedsCompilation:	no
Citation:	susieR citation info
Materials:	README
CRAN checks:	susieR results

Documentation:

Reference manual:

susieR.html , susieR.pdf

Vignettes:

Fine-mapping with summary statistics (source, R code) Fine-mapping example (source, R code) minimal example (source, R code) SuSiE with sparse matrix operations (source, R code) Refine SuSiE model (source, R code) Compare susie_rss variants (source, R code) Diagnostic for fine-mapping with summary statistics (source, R code) Trend filtering demo (source, R code) Implementation of SuSiE trend filtering (source)

Downloads:

Package source:	susieR_0.14.2.tar.gz
Windows binaries:	r-devel: susieR_0.14.2.zip, r-release: susieR_0.14.2.zip, r-oldrel: susieR_0.14.2.zip
macOS binaries:	r-release (arm64): susieR_0.14.2.tgz, r-oldrel (arm64): susieR_0.14.2.tgz, r-release (x86_64): susieR_0.14.2.tgz, r-oldrel (x86_64): susieR_0.14.2.tgz
Old sources:	susieR archive

Reverse dependencies:

Reverse imports:	coloc
Reverse suggests:	colocboost

Linking:

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