# Citation for the dataprep R package.
#
# The primary reference is the methodological paper that the package
# implements and extends. Users who publish with dataprep should cite
# this paper; the software entry is provided for completeness so that
# `citation("dataprep")` returns both.

bibentry(
  bibtype = "Article",
  key     = "liang2020dataprep",
  title   = "Efficient data preprocessing, episode classification,
             and source apportionment of particle number
             concentrations",
  author  = c(
    person("Chun-Sheng", "Liang"),
    person("Hao",       "Wu"),
    person("Hai-Yan",   "Li"),
    person("Qiang",     "Zhang"),
    person("Zhanqing",  "Li"),
    person("Ke-Bin",    "He")
  ),
  journal     = "Science of the Total Environment",
  year        = 2020,
  volume      = 741,
  pages       = "140923",
  doi         = "10.1016/j.scitotenv.2020.140923",
  textVersion = paste(
    "Liang, C.-S., Wu, H., Li, H.-Y., Zhang, Q., Li, Z. & He, K.-B.",
    "(2020). Efficient data preprocessing, episode classification,",
    "and source apportionment of particle number concentrations.",
    "Science of the Total Environment, 741, 140923.",
    "https://doi.org/10.1016/j.scitotenv.2020.140923"
  )
)

bibentry(
  bibtype     = "Manual",
  key         = "dataprep_pkg",
  title       = "dataprep: Efficient and Flexible Data Preprocessing Tools",
  author      = person("Chun-Sheng", "Liang"),
  year        = 2026,
  note        = "R package version 0.1.8",
  url         = "https://github.com/chunshengliang/dataprep",
  textVersion = paste(
    "Liang, C.-S. (2026). dataprep: Efficient and Flexible Data",
    "Preprocessing Tools. R package version 0.1.8.",
    "https://github.com/chunshengliang/dataprep"
  )
)