View source: R/cavi_auxiliary_traits.R
compute_ordinal_auxiliary_trait_elbo | R Documentation |
Compute the contribution of an ordinal trait to the Evidence Lower Bound (ELBO) of a PLVM given the approximate posterior distribution for loadings and latent traits.
compute_ordinal_auxiliary_trait_elbo( y, cut_off_points, loading_expectation, latent_trait_expectation, loading_outer_expectation, latent_trait_outer_expectation, perform_checks = TRUE )
y |
An N-dimensional vector of ordered factors with K levels. An ordinal manifest trait. |
cut_off_points |
A K+1 dimensional ordered vector of values. The cut off points separating auxiliary traits into ordinal state. |
loading_expectation |
A L-dimensional vector of real numbers, The row of the expected loading matrix corresponding to the ordinal trait. |
latent_trait_expectation |
An NxL matrix of real values. The expected individual specific latent traits. |
loading_outer_expectation |
A LxL matrix. The expected outer product for the row of the expected loading matrix corresponding to the ordinal trait. |
latent_trait_outer_expectation |
A LxLxN array, The expected outer product of individual specific latent traits. |
perform_checks |
Logical. Check if function inputs are specified correctly. |
A real valued scalar. The contribution of the ordinal trait to the ELBO.
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