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>.
Version: 1.2.0 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, testthat (≥ 3.0.0) Published: 2025-04-16 DOI: 10.32614/CRAN.package.pcvr Author: Josh Sumner [aut, cre], Jeffrey Berry [aut], Noah Fahlgren [rev], Donald Danforth Plant Science Center [cph] Maintainer: Josh Sumner <jsumner at danforthcenter.org> BugReports: https://github.com/danforthcenter/pcvr/issues License: GPL-2 URL: https://github.com/danforthcenter/pcvr, https://plantcv.org/, https://danforthcenter.github.io/pcvr/ NeedsCompilation: no Additional_repositories: https://mc-stan.org/r-packages/ Materials: README NEWS CRAN checks: pcvr results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=pcvr to link to this page.
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