scoreLatentVars {combi} | R Documentation

## Evaluate the score functions for the estimation of the latent variables for a single dataset

### Description

Evaluate the score functions for the estimation of the latent variables for a single dataset

### Usage

    scoreLatentVars(data, distribution, paramEsts, paramMats, offSet,
      latentVar, meanVarTrend, constrained = FALSE, covMat = NULL,
      varPosts, compositional, indepModel, mm, latentVarsLower,
      allowMissingness, ...)

### Arguments

`data, distribution, offSet, meanVarTrend, indepModel, varPosts, paramEsts, paramMats, compositional` | Characteristics of the views
`latentVar` | the latent variable estimates
`constrained` | a boolean, is this a constrained analysis
`covMat` | a matrix of constraining covariates
`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

A vector of length n, with evaluated score function

[Package combi version 1.0.0 Index]