Encoding: UTF-8
Type: Package
Package: susieR
Title: Sum of Single Effects Linear Regression
Description: 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).
Date: 2026-07-28
Version: 0.16.6
Authors@R: c(person("Gao","Wang",role="aut",email="wang.gao@columbia.edu"),
             person("Yuxin","Zou",role="aut"),
             person("Alexander","McCreight",role="aut"),
             person("Kaiqian","Zhang",role="aut"),
             person("William","R.P. Denault",role="aut"),
             person("Peter","Carbonetto",role=c("aut","cre"),
                    email="peter.carbonetto@gmail.com"),
	     person("Matthew","Stephens",role="aut"))
URL: https://github.com/stephenslab/susieR
BugReports: https://github.com/stephenslab/susieR/issues
License: BSD_3_clause + file LICENSE
Depends: R (>= 3.5.0)
Imports: methods, graphics, grDevices, stats, Matrix, matrixStats,
        mixsqp, reshape, crayon, ggplot2, Rfast
LinkingTo: cpp11, cpp11armadillo
Suggests: curl, pkgload, rprojroot, testthat, microbenchmark, knitr,
        rmarkdown, cowplot, L0Learn
LazyData: yes
LazyDataCompression: xz
NeedsCompilation: yes
RoxygenNote: 7.3.3
VignetteBuilder: knitr
Config/pak/sysreqs: cmake
Repository: https://stephenslab.r-universe.dev
Date/Publication: 2026-10-11 20:49:26 UTC
RemoteUrl: https://github.com/stephenslab/susier
RemoteRef: HEAD
RemoteSha: 69db7e7a3f917ea02a4abc4b53694b2cd1c26b7e
Packaged: 2026-10-11 20:59:07 UTC; root
Author: Gao Wang [aut],
  Yuxin Zou [aut],
  Alexander McCreight [aut],
  Kaiqian Zhang [aut],
  William R.P. Denault [aut],
  Peter Carbonetto [aut, cre],
  Matthew Stephens [aut]
Maintainer: Peter Carbonetto <peter.carbonetto@gmail.com>
