doi:10.1177/2515245918771304>, Kruschke (2013) <doi:10.1037/a0029146>, and Kruschke (2021) <doi:10.1038/s41562-021-01177-7>.">

pcvr: Plant Phenotyping and Bayesian Statistics (original) (raw)

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: 1.3.1
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: 2025-08-18
DOI: 10.32614/CRAN.package.pcvr
Author: Josh Sumner ORCID iD [aut, cre], Jeffrey Berry ORCID iD [aut], Noah Fahlgren ORCID iD [rev], Donald Danforth Plant Science Center [cph]
Maintainer: Josh Sumner
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

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