jacLatentVars {combi} | R Documentation |
Evaluate the jacobian for estimating the latent variable for one view
jacLatentVars(latentVar, data, distribution, paramEsts, paramMats, offSet, meanVarTrend, n, varPosts, mm, indepModel, latentVarsLower, compositional, allowMissingness, ...)
latentVar |
the latent variable estimates |
data |
Characteristics of the views |
distribution, compositional, meanVarTrend, offSet, paramEsts, paramMats, indepModel |
Characteristics of each view |
n |
the number of samples |
varPosts |
Characteristics of the views |
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 |
The diagonal of the jacobian matrix