jacFeatures {combi} | R Documentation

## Evaluate the jacobian for estimating the feature parameters for one view

### Description

Evaluate the jacobian for estimating the feature parameters for one view

### Usage

    jacFeatures(latentVars, data, distribution, paramEsts, meanVarTrend,
      offSet, compositional, indepModel, m, paramEstsLower, allowMissingness,
      ...)

### Arguments

`latentVars` | A vector of latent variables
`data` | A list of data matrices
`distribution, compositional, meanVarTrend, offSet, paramEsts, paramEstsLower, indepModel` | Characteristics of each view
`m` | dimension
`allowMissingness` | a boolean, are missing values allowed?
`...` | Additional arguments passed on to the score and jacobian functions

### Value

The jacobian matrix

[Package combi version 1.2.0 Index]