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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "susieR" in publications use:'
type: software
license: BSD-3-Clause
title: 'susieR: Sum of Single Effects Linear Regression'
version: 0.12.42
doi: 10.1101/501114
identifiers:
- type: doi
  value: 10.32614/CRAN.package.susieR
abstract: 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).
authors:
- family-names: Wang
  given-names: Gao
  email: wang.gao@columbia.edu
- family-names: Zou
  given-names: Yuxin
- family-names: Zhang
  given-names: Kaiqian
- family-names: Carbonetto
  given-names: Peter
  email: peter.carbonetto@gmail.com
- family-names: Stephens
  given-names: Matthew
preferred-citation:
  type: article
  title: A simple new approach to variable selection in regression, with application
    to genetic fine mapping
  authors:
  - family-names: Wang
    given-names: Gao
    email: wang.gao@columbia.edu
  - family-names: Sarkar
    given-names: Abhishek
  - family-names: Carbonetto
    given-names: Peter
    email: peter.carbonetto@gmail.com
  - family-names: Stephens
    given-names: Matthew
  journal: Journal of the Royal Statistical Society, Series B
  year: '2020'
  volume: '82'
  doi: 10.1101/501114
  start: 1273-1300
repository: https://stephenslab.r-universe.dev
repository-code: https://github.com/stephenslab/susieR
commit: ced6a9c83a45f792d4d2ef2a9ae0846e164bf92c
url: https://github.com/stephenslab/susieR
date-released: '2024-08-01'
contact:
- family-names: Carbonetto
  given-names: Peter
  email: peter.carbonetto@gmail.com
references:
- type: article
  title: Fine-mapping from summary data with the "Sum of Single Effects" model
  authors:
  - family-names: Zou
    given-names: Yuxin
  - family-names: Carbonetto
    given-names: Peter
  - family-names: Wang
    given-names: Gao
  - family-names: Stephens
    given-names: Matthew
  journal: PLoS Genetics
  volume: '18'
  year: '2022'
  doi: 10.1371/journal.pgen.1010299
  start: e1010299