deriv2LagrangianLatentVarsConstr {combi} | R Documentation

## The score function to estimate the latent variables

### Description

The score function to estimate the latent variables

### Usage

    deriv2LagrangianLatentVarsConstr(x, data, distributions, offsets,
      paramEsts, paramMats, numVars, latentVarsLower, nn, m, Jac, numSets,
      meanVarTrends, links, numCov, covMat, nLambda1s, varPosts, compositional,
      indepModels, ...)

### Arguments

`x` | The current estimates of the latent variables
`data` | Lists of inforamtion on all the views
`distributions, links, compositional, meanVarTrends, offsets, numVars, paramMats, paramEsts` | Characteristics of the view
`latentVarsLower` | The parameter estimates of the lower dimensions
`nn` | number of samples
`m` | integeres, number of samples and dimensions
`Jac` | an empty jacobian matrix
`numSets` | Characteristics of the views
`numCov` | The number of covariates
`covMat` | the covariates matrix
`nLambda1s` | The number of centering restrictions
`varPosts` | Characteristics of the views
`indepModels` | Characteristics of the views
`...` | arguments to the jacobian function, currently ignored

### Value

A vector of length nn, the evaluation of the score functions of the latent variables

[Package combi version 0.99.15 Index]