derivLagrangianLatentVars {combi} | R Documentation |
The score function to estimate the latent variables
derivLagrangianLatentVars(x, data, distributions, offsets, paramEsts, paramMats, numVars, n, m, numSets, meanVarTrends, links, varPosts, latentVarsLower, compositional, indepModels, ...)
x |
The current estimates of the latent variables |
n |
The number of samples |
m |
The dimensions |
numSets |
The number of views |
latentVarsLower |
The parameter estimates of the lower dimensions |
compositional, links, indepModels, meanVarTrends, numVars, distributions, data, offsets, varPosts, paramMats, paramEsts |
Lists of inforamtion on all the views |
... |
arguments to the jacobian function, currently ignored |
A vector of length n, the evaluation of the score functions of the latent variables