scoreLatentVars: Evaluate the score functions for the estimation of the latent...

View source: R/scoreLatentVars.R

scoreLatentVarsR 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


CenterForStatistics-UGent/combi documentation built on Aug. 22, 2023, 11:02 p.m.