pcvr: Plant Phenotyping and Bayesian Statistics

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:	1.0.0
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:	2024-09-05
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 [issues need fixing before 2024-11-18]

Documentation:

Reference manual:	pcvr.pdf
Vignettes:	Bellwether (source, R code) Directional Statistics in PCVR (source, R code) Longitudinal Growth Modeling Options (source, R code) Root Traits (source, R code)

Downloads:

Package source:	pcvr_1.0.0.tar.gz
Windows binaries:	r-devel: pcvr_1.0.0.zip, r-release: pcvr_1.0.0.zip, r-oldrel: pcvr_1.0.0.zip
macOS binaries:	r-release (arm64): pcvr_1.0.0.tgz, r-oldrel (arm64): pcvr_1.0.0.tgz, r-release (x86_64): pcvr_1.0.0.tgz, r-oldrel (x86_64): pcvr_1.0.0.tgz

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