compute_auxiliary_trait_elbo: Auxiliary Trait ELBO
In jpmeagher/vbar: Variational Bayes Ancestral Reconstruction

compute_auxiliary_trait_elbo

R Documentation

Auxiliary Trait ELBO

Description

Compute the contribution of auxiliary traits to the Evidence Lower Bound (ELBO) of a PLVM given the approximate posterior distribution for loadings and latent traits

Usage

compute_auxiliary_trait_elbo(
  manifest_trait_df,
  metadata,
  auxiliary_traits,
  loading_expectation,
  latent_trait_expectation,
  precision,
  loading_outer_expectation,
  latent_trait_outer_expectation,
  n_samples = 1000,
  random_seed = NULL,
  perform_checks = TRUE
)

Arguments

`manifest_trait_df`	The data frame of manifest traits. If included allows for a non-exhaustive series of checks comparing metadata provided to that implicit in the manifest traits.
`metadata`	A data frame. Contains all the metadata required to map a set of manifest traits to the PLVM auxiliary traits..
`auxiliary_traits`	An NxD' matrix of real numbers. The auxiliary traits.
`loading_expectation`	A D'xL matrix of real numbers, The expected loading matrix.
`latent_trait_expectation`	An NxL matrix of real values. The expected individual specific latent traits.
`precision`	A P-dimensional vector of positive real values. The precision with which auxiliary traits are observed.
`loading_outer_expectation`	A LxLxD' array. The expected outer products of the expected loading matrix.
`latent_trait_outer_expectation`	A LxLxN array. The expected outer product of individual specific latent traits.
`n_samples`	A positive integer. The number of independent samples drawn to obtain the Monte Carlo estimate.
`random_seed`	A single value, interpreted as an integer, or NULL.
`perform_checks`	Logical. Check if function inputs are specified correctly.