derivLagrangianLatentVarsConstr {combi} | R Documentation

## The score function to estimate the latent variables

### Description

The score function to estimate the latent variables

### Usage

    derivLagrangianLatentVarsConstr(x, data, distributions, offsets, paramEsts,
      numVars, latentVarsLower, n, m, numSets, meanVarTrends, links, covMat,
      numCov, centMat, nLambda1s, varPosts, compositional, indepModels,
      paramMats, ...)

### Arguments

`x` | The current estimates of the latent variables
`latentVarsLower` | The parameter estimates of the lower dimensions
`n` | The number of samples
`m` | The dimensions
`numSets` | The number of views
`covMat` | The covariance matrix
`numCov` | The number of covariates
`centMat` | A centering matrix
`nLambda1s` | The number of dummy variables
`compositional, links, indepModels, meanVarTrends, numVars, distributions, data, offsets, varPosts, paramMats, paramEsts` | Lists of information 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]