jacLatentVars {combi} | R Documentation

## Evaluate the jacobian for estimating the latent variable for one view

### Description

Evaluate the jacobian for estimating the latent variable for one view

### Usage

    jacLatentVars(latentVar, data, distribution, paramEsts, paramMats, offSet,
      meanVarTrend, n, varPosts, mm, indepModel, latentVarsLower,
      compositional, allowMissingness, ...)

### Arguments

`latentVar` | the latent variable estimates
`data` | Characteristics of the views
`distribution, compositional, meanVarTrend, offSet, paramEsts, paramMats, indepModel` | Characteristics of each view
`n` | the number of samples
`varPosts` | Characteristics of the views
`mm` | the current dimension
`latentVarsLower` | the lower dimensional latent variables
`allowMissingness` | a boolean, should missing values be allowed
`...` | additional arguments passed on to score and jacobian functions

### Value

The diagonal of the jacobian matrix

[Package combi version 1.2.0 Index]