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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 "findIPs" in publications use:'
type: software
license: GPL-3.0-only
title: 'findIPs: Influential Points Detection for Feature Rankings'
version: 1.1.0
doi: 10.48550/arXiv.2303.10516
abstract: Feature rankings can be distorted by a single case in the context of high-dimensional
  data. The cases exerts abnormal influence on feature rankings are called influential
  points (IPs). The package aims at detecting IPs based on case deletion and quantifies
  their effects by measuring the rank changes (DOI:10.48550/arXiv.2303.10516). The
  package applies a novel rank comparing measure using the adaptive weights that stress
  the top-ranked important features and adjust the weights to ranking properties.
authors:
- family-names: Wang
  given-names: Shuo
  email: wangsures@foxmail.com
  orcid: https://orcid.org/0009-0000-0424-2160
- family-names: Lu
  given-names: Junyan
  email: junyan.lu@uni-heidelberg.de
preferred-citation:
  type: article
  title: Detect influential points of feature rankings
  authors:
  - family-names: Wang
    given-names: Shuo
    email: wangsures@foxmail.com
    orcid: https://orcid.org/0009-0000-0424-2160
  - family-names: Lu
    given-names: Junyan
    email: junyan.lu@uni-heidelberg.de
  journal: arXiv preprint
  doi: 10.48550/arXiv.2303.10516
  year: '2023'
repository: https://bioc.r-universe.dev
repository-code: https://github.com/ShuoStat/findIPs
url: https://github.com/ShuoStat/findIPs
date-released: '2024-04-03'
contact:
- family-names: Wang
  given-names: Shuo
  email: wangsures@foxmail.com
  orcid: https://orcid.org/0009-0000-0424-2160