derivLagrangianLatentVars {combi} | R 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

[Package combi version 1.0.0 Index]