Prints the summary of a fitted jtdm
# S3 method for jtdm_fit
summary(object, ...)a model fitted with jtdm_fit
additional arguments
A printed summary of the fitted jtdm
data(Y)
data(X)
m = jtdm_fit(Y=Y, X=X,
formula=as.formula("~GDD+FDD+forest"), sample = 1000)
summary(m)
#> ==================================================================
#> JTDM to model SLA, LNC, Height
#> as a function of GDD + FDD + forest.
#> Likelihood of the model: -1092.81428687239
#> ==================================================================
#> * Useful S3 methods and functions to get and show inferred parameters:
#> plot(), getB(), get_sigma()
#> * Useful functions to predict marginally and jointly:
#> jtdm_predict(), jtdmCV(), joint_trait_prob()
#> * Function to plot partial response curves of the envelope of possible:
#> ellipse_plot()
#> * Function to compute partial response curves of joint probabilities:
#> joint_trait_prob_gradient()
#> ==================================================================