deriv2LagrangianLatentVars {combi} | R 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
`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

[Package combi version 1.2.0 Index]