awkHelper               subset helper function for use reading in large
                        data, called in pcv.sub.read
barg                    Function to help fulfill elements of the
                        Bayesian Analysis Reporting Guidelines.
brmPlot                 Function to visualize brms models similar to
                        those made using growthSS outputs.
brmSurvPlot             Function to visualize brms survival models
                        specified using growthSS.
brmViolin               Function to visualize hypotheses tested on brms
                        models similar to those made using growthSS
                        outputs.
checkGroups             Helper function to check groups in data.
combineDraws            Combine Draws From brms Models
conjugate               Bayesian testing using conjugate priors and
                        method of moments for single or multi value
                        traits.
conjugate-class         Class 'conjugate' for output from the
                        'pcvr::conjugate' function.
cumulativePheno         Reduce phenotypes in longitudinal data to
                        cumulative sums of phenotypes.
distributionPlot        Function for plotting iterations of posterior
                        distributions
fitGrowth               Ease of use wrapper function for fitting
                        various growth models specified by growthSS
fitGrowthbrms           Ease of use brms wrapper function for fitting
                        growth models specified by 'growthSS'
fitGrowthflexsurv       Ease of use wrapper function for fitting growth
                        models specified by 'growthSS'
fitGrowthlm             Ease of use lm wrapper function for fitting
                        growth models specified by 'mvSS'
fitGrowthmgcvgam        Ease of use mgcv wrapper function for fitting
                        gams specified by 'growthSS'
fitGrowthnlme           Ease of use nlme wrapper function for fitting
                        growth models specified by 'growthSS'
fitGrowthnlmegam        Ease of use lme wrapper function for fitting
                        gams specified by 'growthSS'
fitGrowthnlrq           Ease of use nlrq wrapper function for fitting
                        growth models specified by 'growthSS'
fitGrowthnlrqgam        Ease of use rq wrapper function for fitting
                        gams specified by 'growthSS'
fitGrowthnls            Ease of use nls wrapper function for fitting
                        growth models specified by 'growthSS'
fitGrowthnlsgam         Ease of use lm wrapper function for fitting
                        gams specified by 'growthSS'
fitGrowthrq             Ease of use rq wrapper function for fitting
                        models specified by 'mvSS'
fitGrowthsurvreg        Ease of use wrapper function for fitting growth
                        models specified by 'growthSS'
flexsurvregPlot         Function to visualize 'flexsurv::flexsurvreg'
                        models fit by 'fitGrowth'.
frem                    Variance partitioning using Full Random Effects
                        Models
gam_diff                Helper function for visualizing differences in
                        GAMs fit with 'mgcv::gam'
growthPlot              Function to visualize models made by fitGrowth.
growthSS                Ease of use growth model helper function.
growthSim               Growth data simulating function
mvSS                    Ease of use multi-value trait model helper
                        function.
mvSim                   Multi Value Trait simulating function
mv_ag                   Multi Value Trait Aggregation function
net.plot                Visualizing igraph networks
nlmePlot                Function to visualize common 'nlme::nlme'
                        growth models.
nlrqPlot                Function to visualize common 'quantreg::nlrq'
                        growth models.
nlsPlot                 Function to visualize common 'stats::nls'
                        growth models.
pcadf                   Function to run a PCA, plot and optionally
                        return the data with PCA coordinates and pca
                        object
pcv.emd                 Earth Mover's Distance between spectral
                        histograms
pcv.joyplot             Make Joyplots for multi value trait plantCV
                        data
pcv.net                 Network analysis of a distance matrix
pcv.outliers            Remove outliers from bellwether data using
                        cook's distance
pcv.plsr                Run Partial Least Squares Regression on
                        spectral data
pcv.time                Time conversion and plotting for bellwether
                        data
pcv.water               Read in lemnatech watering data from
                        metadata.json files
pcv_theme               Default theme for ggplots made by pcvr
                        functions.
pcvr-package            Plant Phenotyping and Bayesian Statistics
pcvrss-class            Class 'pcvrss' for models specified in 'pcvr'.
plot.conjugate          Plot a 'conjugate' object.
plotPrior               Check priors used in ease of use brms functions
plotVIP                 Plot Variable Influence on Projection
print.conjugate         Print a 'conjugate' object.
print.conjugatesummary
                        Print a 'conjugatesummary' object.
print.pcvrss            Print a 'pcvrss' object.
print.pcvrsssummary     Print a 'pcvrsssummary' object.
pwue                    Calculate pseudo water use efficiency from
                        phenotype and watering data
read.pcv                Read in plantCV csv output in wide or long
                        format
read.pcv.3              Read in plantCV csv from bellwether phenotyper
                        style experiments analyzed with plantCV
                        versions <4.
relativeTolerance       Calculate relative tolerance of some
                        phenotype(s) relative to control
rqPlot                  Function to visualize 'quantreg::rq' general
                        additive growth models.
statBrmsMod             possible that ss is not a pcvrss object for
                        compatibility with other brms models if "df" is
                        part of it then work with that otherwise use
                        general data. NOTE ggplot2:::Stat$compute_layer
                        can use the default from ggproto 'make plot
                        within a given panel of the ggplot (a facet)'
                        this is mostly the same as the default ggproto
                        compute_panel function, but it takes more named
                        args and passes them to compute_group and
                        avoids warning about individual/time columns.
                        'make data out of model per a given aes-group,
                        should only be 1 per panel' this is the heavily
                        customized component which makes data for
                        ribbons from the model and ss objects.
statNlsMod              leaving the same as statBrmsMod for now. NOTE I
                        think this can stay the same from brms version
                        'make data out of model per a given aes-group,
                        should only be 1 per panel' this is the heavily
                        customized component which makes data for
                        ribbons from the model and ss objects.
stat_brms_model         Show a model fit with pcvr in a ggplot layer
summary.conjugate       Summarize a 'conjugate' object.
summary.pcvrss          Summarize a 'pcvrss' object.
survregPlot             Function to visualize 'survival::survreg'
                        models fit by 'fitGrowth'.
testGrowth              Hypothesis testing for fitGrowth models.
