derivLagrangianFeatures {combi} | R Documentation

## The score function to estimate the feature parameters

### Description

The score function to estimate the feature parameters

### Usage

    derivLagrangianFeatures(x, data, distribution, offSet, latentVars, numVar,
      paramEstsLower, mm, indepModel, meanVarTrend, weights, compositional,
      ...)

### Arguments

`x` | current parameter estimates
`data` | A list of data matrices
`distribution, compositional, meanVarTrend, offSet, numVar, indepModel, paramEstsLower` | Characteristics of the view
`latentVars` | A vector of latent variables
`mm` | the current dimension
`weights` | The normalization weights
`...` | arguments to the jacobian function, currently ignored

### Value

A vector with the evaluation of the score functions of the feature parameters

[Package combi version 1.2.0 Index]