Retention Time Prediction in Liquid Chromatography R package FastRet version 1.5.2 A framework for predicting retention times in liquid chromatography. Users can train custom models for specific chromatography columns, predict retention times using existing models, or adjust existing models to account for altered experimental conditions. The provided functionalities can be accessed either via the R console or via a graphical user interface. For details see Fadil et al. (2026) <doi:10.1021/acs.jcim.6c01344>. Related work: Bonini et al. (2020) <doi:10.1021/acs.analchem.9b05765>. Software Depends: R (>= 4.1.0) Imports: bslib, cluster, data.table, DBI, DT, future (>= 1.40.0), ggplot2, glmnet, htmltools, openxlsx, promises, rcdk, rlang, RSQLite, shiny (>= 1.8.1), shinyhelper, shinyjs, withr, xgboost Suggests: callr, caret, chromote, cli, devtools, knitr, languageserver, lintr, pkgdown, pkgbuild, pkgload, rmarkdown, servr, shinytest2, tibble, testthat (>= 3.0.0), toscutil, usethis Tobias Schmidt <tobias.schmidt331@gmail.com> Comprehensive R Archive Network (CRAN) Tobias Schmidt [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-9681-9253>), Christian Amesoeder [aut, cph] (ORCID: <https://orcid.org/0000-0002-1668-8351>), Marian Schoen [aut, cph], Fadi Fadil [aut, cph] (ORCID: <https://orcid.org/0000-0002-9532-1901>), Katja Dettmer [aut, cph] (ORCID: <https://orcid.org/0000-0001-7337-2380>), Peter Oefner [ths, cph] (ORCID: <https://orcid.org/0000-0002-1499-3977>) GPL-3 2026-10-24 application/tgz https://CRAN.R-project.org/package=FastRet doi:10.32614/CRAN.package.FastRet en-US