deriv2LagrangianLatentVars: The jacobian function to estimate the latent variables

Description Usage Arguments Value

View source: R/deriv2LagrangianLatentVars.R

Description

The jacobian function to estimate the latent variables

Usage

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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

data

Lists of inforamtion on all the views

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

Characteristics of the views

latentVarsLower

The parameter estimates of the lower dimensions

n, m

integeres, 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


combi documentation built on Nov. 8, 2020, 5:34 p.m.