get_elbo: Gets the elbo value for a single iteration of the algorithim

In jewelltaylor/funclustVI: Cluster Functional Data using Variational Inference

Gets the elbo value for a single iteration of the algorithim

Description

Gets the elbo value for a single iteration of the algorithim

Usage

get_elbo(
  x,
  Y,
  K,
  phi_matrix,
  m_not_vector,
  nbasis,
  sigma_list,
  m_list,
  A_vector,
  R_vector,
  d_vector,
  probability_matrix,
  alpha_vector,
  beta_vector
)

Arguments

x	The x used to generate the clusters
Y	The matrix containing rows corresponding the curves
K	The number of clusters in the data
phi_matrix	A matrix of the coffecient vectors for each cluster, phi_k, of the basis matrix B
m_not_vector	The vector containing m_not values for each cluster
nbasis	The number of basis functions
m_list	A list of the m parameters for each cluster
A_vector	A vector
R_vector	A vector
d_vector	A vector of the d parameters for each cluster
probability_matrix	A matrix in which the rows represent the probabilities that the curve is in each of the clusters
alpha_vector	A vector that in which the entries are the alpha parameters of the gamma distribution (1 / variance) of the curves in each cluster
beta_vector	A vector contain the beta vector for each cluster

Value

The elbo value

Examples

get_elbo(x, Y, K, phi_matrix, m_not_vector, nbasis, sigma_list, m_list, A_vector, R_vector, d_vector, probability_matrix, alpha_vector, beta_vector)

jewelltaylor/funclustVI documentation built on June 1, 2022, 12:30 p.m.