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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 "metamorphr" in publications use:'
type: software
license: MIT
title: 'metamorphr: Tidy and Streamlined Metabolomics Data Workflows'
version: 0.4.1.9000
doi: 10.32614/CRAN.package.metamorphr
abstract: Facilitate tasks typically encountered during metabolomics data analysis
  including data import, filtering, missing value imputation (Stacklies et al. (2007)
  <https://doi.org/10.1093/bioinformatics/btm069>, Stekhoven et al. (2012) <https://doi.org/10.1093/bioinformatics/btr597>,
  Tibshirani et al. (2017) <https://doi.org/10.18129/B9.BIOC.IMPUTE>, Troyanskaya
  et al. (2001) <https://doi.org/10.1093/bioinformatics/17.6.520>), normalization
  (Bolstad et al. (2003) <https://doi.org/10.1093/bioinformatics/19.2.185>, Dieterle
  et al. (2006) <https://doi.org/10.1021/ac051632c>, Zhao et al. (2020) <https://doi.org/10.1038/s41598-020-72664-6>)
  transformation, centering and scaling (Van Den Berg et al. (2006) <https://doi.org/10.1186/1471-2164-7-142>)
  as well as statistical tests and plotting. 'metamorphr' introduces a tidy (Wickham
  et al. (2019) <https://doi.org/10.21105/joss.01686>) format for metabolomics data
  and is designed to make it easier to build elaborate analysis workflows and to integrate
  them with 'tidyverse' packages including 'dplyr' and 'ggplot2'.
authors:
- family-names: Schermer
  given-names: Yannik
  email: yannik.schermer@chem.rptu.de
  orcid: https://orcid.org/0009-0002-5201-057X
repository: https://yasche.r-universe.dev
repository-code: https://github.com/yasche/metamorphr
commit: b6ca0733620069814443a9516a40cea822aa674e
url: https://yasche.github.io/metamorphr/
date-released: '2026-06-10'
contact:
- family-names: Schermer
  given-names: Yannik
  email: yannik.schermer@chem.rptu.de
  orcid: https://orcid.org/0009-0002-5201-057X