derivLagrangianLatentVars: The score function to estimate the latent variables

View source: R/derivLagrangianLatentVars.R

derivLagrangianLatentVarsR Documentation

The score function to estimate the latent variables

Description

The score function to estimate the latent variables

Usage

derivLagrangianLatentVars(
  x,
  data,
  distributions,
  offsets,
  paramEsts,
  paramMats,
  numVars,
  n,
  m,
  numSets,
  meanVarTrends,
  links,
  varPosts,
  latentVarsLower,
  compositional,
  indepModels,
  ...
)

Arguments

x

The current estimates of the latent variables

n

The number of samples

m

The dimensions

numSets

The number of views

latentVarsLower

The parameter estimates of the lower dimensions

compositional, links, indepModels, meanVarTrends, numVars, distributions, data, offsets, varPosts, paramMats, paramEsts

Lists of inforamtion on all the views

...

arguments to the jacobian function, currently ignored

Value

A vector of length n, the evaluation of the score functions of the latent variables


CenterForStatistics-UGent/compIntegrate documentation built on Aug. 4, 2023, 1:08 p.m.