deriv2LagrangianLatentVars: The jacobian function to estimate the latent variables

View source: R/deriv2LagrangianLatentVars.R

deriv2LagrangianLatentVarsR Documentation

The jacobian function to estimate the latent variables

Description

The jacobian function to estimate the latent variables

Usage

deriv2LagrangianLatentVars(
  x,
  data,
  distributions,
  offsets,
  paramEsts,
  paramMats,
  numVars,
  latentVarsLower,
  n,
  m,
  Jac,
  numSets,
  meanVarTrends,
  links,
  varPosts,
  indepModels,
  compositional,
  ...
)

Arguments

x

The current estimates of the latent variables

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

Characteristics of the views

latentVarsLower

The parameter estimates of the lower dimensions

n, m

integers, number of samples and dimensions

Jac

an empty jacobian matrix

...

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.