# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "LongDat" in publications use:'
type: software
license: GPL-2.0-only
title: 'LongDat: A Tool for ''Covariate''-Sensitive Longitudinal Analysis on ''omics''
  Data'
version: 1.1.3
doi: 10.1093/bioadv/vbad063
identifiers:
- type: doi
  value: 10.32614/CRAN.package.LongDat
abstract: This tool takes longitudinal dataset as input and analyzes if there is significant
  change of the features over time (a proxy for treatments), while detects and controls
  for 'covariates' simultaneously. 'LongDat' is able to take in several data types
  as input, including count, proportion, binary, ordinal and continuous data. The
  output table contains p values, effect sizes and 'covariates' of each feature, making
  the downstream analysis easy.
authors:
- family-names: Chen
  given-names: Chia-Yu
  email: Chia-Yu.Chen@mdc-berlin.de
  orcid: https://orcid.org/0000-0003-1765-7132
preferred-citation:
  type: article
  title: 'LongDat: an R package for covariate-sensitive longitudinal analysis of high-dimensional
    data'
  authors:
  - family-names: Chen
    given-names: Chia-Yu
    email: Chia-Yu.Chen@mdc-berlin.de
    orcid: https://orcid.org/0000-0003-1765-7132
  - family-names: Löber
    given-names: Ulrike
  - family-names: Forslund
    given-names: Sofia
  year: '2023'
  journal: Bioinformatics Advances
  issue: '1'
  volume: '3'
  doi: 10.1093/bioadv/vbad063
  url: https://doi.org/10.1093/bioadv/vbad063
  start: vbad063
repository: https://CRAN.R-project.org/package=LongDat
repository-code: https://github.com/CCY-dev/LongDat
url: https://github.com/CCY-dev/LongDat
date-released: '2024-11-19'
contact:
- family-names: Chen
  given-names: Chia-Yu
  email: Chia-Yu.Chen@mdc-berlin.de
  orcid: https://orcid.org/0000-0003-1765-7132