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 1.2.0 Index]