scoreLatentVars {combi} | R Documentation |
Evaluate the score functions for the estimation of the latent variables for a single dataset
scoreLatentVars(data, distribution, paramEsts, paramMats, offSet, latentVar, meanVarTrend, constrained = FALSE, covMat = NULL, varPosts, compositional, indepModel, mm, latentVarsLower, allowMissingness, ...)
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 |
A vector of length n, with evaluated score function