# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "tidyvpc" in publications use:' type: software license: MIT title: 'tidyvpc: VPC Percentiles and Prediction Intervals' version: 1.5.2 doi: 10.32614/CRAN.package.tidyvpc abstract: Perform a Visual Predictive Check (VPC), while accounting for stratification, censoring, and prediction correction. Using piping from 'magrittr', the intuitive syntax gives users a flexible and powerful method to generate VPCs using both traditional binning and a new binless approach Jamsen et al. (2018) with Additive Quantile Regression (AQR) and Locally Estimated Scatterplot Smoothing (LOESS) prediction correction. authors: - family-names: Barriere given-names: Olivier email: olivier.barriere@gmail.com - family-names: Rich given-names: Benjamin email: mail@benjaminrich.net - family-names: Craig given-names: James email: james.craig@certara.com orcid: https://orcid.org/0000-0003-1757-9234 - family-names: Mouksassi given-names: Samer email: samermouksassi@gmail.com repository: https://CRAN.R-project.org/package=tidyvpc repository-code: https://github.com/certara/tidyvpc url: https://github.com/certara/tidyvpc date-released: '2024-11-21' contact: - family-names: Craig given-names: James email: james.craig@certara.com orcid: https://orcid.org/0000-0003-1757-9234