# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "PakPC" in publications use:' type: software license: GPL-3.0-only title: 'PakPC: ''shiny'' App to Analyze Pakistan''s Population Census Data' version: 0.3.0 identifiers: - type: doi value: 10.32614/CRAN.package.PakPC - type: url value: https://myaseen208.shinyapps.io/PakPC/ - type: url value: https://CRAN.R-project.org/package=PakPC abstract: Provides tools for analyzing Pakistan's Population Censuses data via the 'PakPC2023' and 'PakPC2017' R packages. Designed for researchers, policymakers, and professionals, the app enables in-depth numerical and graphical analysis, including detailed cross-tabulations and insights. With diverse statistical models and visualization options, it supports informed decision-making in social and economic policy. This tool enhances users' ability to explore and interpret census data, providing valuable insights for effective planning and analysis across various fields. authors: - family-names: Yaseen given-names: Muhammad email: myaseen208@gmail.com orcid: https://orcid.org/0000-0002-5923-1714 preferred-citation: type: manual title: 'PakPC: Shiny App to Analyze Pakistan''s Population Census Data' authors: - family-names: Yaseen given-names: Muhammad email: myaseen208@gmail.com orcid: https://orcid.org/0000-0002-5923-1714 - family-names: Dilber given-names: Muhammad Arfan - family-names: Asghar given-names: Zahid year: '2024' journal: The Comprehensive R Archive Network (CRAN) repository: https://myaseen208.r-universe.dev repository-code: https://github.com/myaseen208/PakPC commit: 099cce379ff79b5bc94fe2eca3bdee75c332088a url: https://myaseen208.com/PakPC/ contact: - family-names: Yaseen given-names: Muhammad email: myaseen208@gmail.com orcid: https://orcid.org/0000-0002-5923-1714