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)
pcvr 
R functions for use with plantCV output
Installation
A stable version of pcvr can be installed from CRAN
install.packages("pcvr")
library(pcvr)
Alternatively, the development version of pcvr can be installed using remotes/devtools install_github as shown below.
Note that the default behavior in devtools/remotes is to only install true dependencies. Several functions in pcvr use specific packages that would otherwise not be needed for most work, notably the brms supporting functions. To install suggested packages (see DESCRIPTION file) add dependencies=T to the install_github function call.
devtools::install_github("danforthcenter/pcvr", build_vignettes=T) # to install without building vignettes set the build_vignettes argument to F or exclude it.
library(pcvr)
Usage
Please see the bellwether vignette for a general introduction to pcvr. In the future we expect to have more vignettes and to specialize each to some degree.
vignette("bellwether", package="pcvr")
# or
browseVignettes("pcvr")
Feedback
Please report bugs and make feature requests with issues in this repository.