Plant Phenotyping and Bayesian Statistics R package pcvr version 1.4.1 Analyse common types of plant phenotyping data, provide a simplified interface to longitudinal growth modeling and select Bayesian statistics, and streamline use of 'PlantCV' output. Several Bayesian methods and reporting guidelines for Bayesian methods are described in Kruschke (2018) <doi:10.1177/2515245918771304>, Kruschke (2013) <doi:10.1037/a0029146>, and Kruschke (2021) <doi:10.1038/s41562-021-01177-7>. Software Depends: R (>= 3.5.0) Imports: FactoMineR, rlang, stats, utils, methods, data.table, ggplot2, ggridges, igraph, jsonlite, lme4, patchwork, extraDistr, parallel, bayestestR, viridis, mgcv, quantreg, nlme, splines, lmeSplines, scales, survival, car Suggests: knitr, rmarkdown, brms, flexsurv, curl, cmdstanr, rstan, caret, vctrs, plyr, testthat (>= 3.0.0) Josh Sumner <jsumner@danforthcenter.org> Comprehensive R Archive Network (CRAN) Josh Sumner [aut, cre] (ORCID: <https://orcid.org/0000-0002-3399-9063>), Jeffrey Berry [aut] (ORCID: <https://orcid.org/0000-0002-8064-9787>), Noah Fahlgren [rev] (ORCID: <https://orcid.org/0000-0002-5597-4537>), Donald Danforth Plant Science Center [cph] GPL-2 2026-06-23 application/tgz https://CRAN.R-project.org/package=pcvr doi:10.32614/CRAN.package.pcvr