deriv2LagrangianLatentVars {combi} | R Documentation |
The jacobian function to estimate the latent variables
deriv2LagrangianLatentVars(x, data, distributions, offsets, paramEsts, paramMats, numVars, latentVarsLower, n, m, Jac, numSets, meanVarTrends, links, varPosts, indepModels, compositional, ...)
x |
The current estimates of the latent variables |
data |
Lists of inforamtion on all the views |
distributions, links, compositional, meanVarTrends, offsets, numVars, numSets, paramMats, paramEsts, varPosts, indepModels |
Characteristics of the views |
latentVarsLower |
The parameter estimates of the lower dimensions |
n, m |
integeres, number of samples and dimensions |
Jac |
an empty jacobian matrix |
... |
arguments to the jacobian function, currently ignored |
A vector of length n, the evaluation of the score functions of the latent variables