Joint Modelling of Functional Traits
Partial response curve of the pairwise most suitable community-level s...
Get the inferred residual covariance matrix
Get the inferred regression coefficients
Global
Computes partial response curves of joint probabilities
Computes joint probabilities.
Fitting joint trait distribution models
Predict method for joint trait distribution model
jtdm.
K-fold cross validation predictions and goodness of fit metrics
Computes and plots the trait-environment relationship of a given CWM t...
Plots the parameters of a fitted jtdm
Prints the summary of a fitted jtdm
Fitting and analyzing a Joint Trait Distribution Model. The Joint Trait Distribution Model is implemented in the Bayesian framework using conjugate priors and posteriors, thus guaranteeing fast inference. In particular the package computes joint probabilities and multivariate confidence intervals, and enables the investigation of how they depend on the environment through partial response curves. The method implemented by the package is described in Poggiato et al. (2023) <doi:10.1111/geb.13706>.
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