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:
1.3.1
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
Published:
2025年08月18日
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 <jsumner at danforthcenter.org>
NeedsCompilation:
no
Documentation:
Downloads:
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