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

In combi: Compositional omics model based visual integration

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

combi documentation built on Nov. 8, 2020, 5:34 p.m.