Function reference • jtdm

Run jtdm Set of functions run, plot and get model parameters a joint trait distribution model using conjugate posteriors.
`jtdm_fit()`	Fitting joint trait distribution models
`getB()`	Get the inferred regression coefficients
`get_sigma()`	Get the inferred residual covariance matrix
`summary(<jtdm_fit>)`	Prints the summary of a fitted jtdm
`plot(<jtdm_fit>)`	Plots the parameters of a fitted jtdm
Marginal predictions and evaluate model fit Set of functions to predict single trait distribution, evaluate model fit and plot partial response curves
`jtdm_predict()`	Predict method for joint trait distribution model
`jtdmCV()`	K-fold cross validation predictions and goodness of fit metrics
`partial_response()`	Computes and plots the trait-environment relationship of a given CWM trait and a given environmental variable
Joint predictions and visualisation Set of functions to predict traits jointly and visualise multivariate confidence intervals
`joint_trait_prob()`	Computes joint probabilities.
`joint_trait_prob_gradient()`	Computes partial response curves of joint probabilities
`ellipse_plot()`	Partial response curve of the pairwise most suitable community-level strategy and of the pairwise envelop of possible community-level strategy
Data sets
`X` `X`	Site x environmental covariates dataset
`Y`	Site x CWM traits dataset
Package description
`jtdm` `jtdm-package`	jtdm.
Various
`global`	Global

Reference