deriv2LagrangianLatentVarsConstr {combi} | R Documentation |
The score function to estimate the latent variables
deriv2LagrangianLatentVarsConstr(x, data, distributions, offsets, paramEsts, paramMats, numVars, latentVarsLower, nn, m, Jac, numSets, meanVarTrends, links, numCov, covMat, nLambda1s, varPosts, compositional, indepModels, ...)
x |
The current estimates of the latent variables |
data |
Lists of inforamtion on all the views |
distributions, links, compositional, meanVarTrends, offsets, numVars, paramMats, paramEsts |
Characteristics of the view |
latentVarsLower |
The parameter estimates of the lower dimensions |
nn |
number of samples |
m |
integeres, number of samples and dimensions |
Jac |
an empty jacobian matrix |
numSets |
Characteristics of the views |
numCov |
The number of covariates |
covMat |
the covariates matrix |
nLambda1s |
The number of centering restrictions |
varPosts |
Characteristics of the views |
indepModels |
Characteristics of the views |
... |
arguments to the jacobian function, currently ignored |
A vector of length nn, the evaluation of the score functions of the latent variables