derivLagrangianLatentVarsConstr {combi} | R Documentation |
The score function to estimate the latent variables
derivLagrangianLatentVarsConstr(x, data, distributions, offsets, paramEsts, numVars, latentVarsLower, n, m, numSets, meanVarTrends, links, covMat, numCov, centMat, nLambda1s, varPosts, compositional, indepModels, paramMats, ...)
x |
The current estimates of the latent variables |
latentVarsLower |
The parameter estimates of the lower dimensions |
n |
The number of samples |
m |
The dimensions |
numSets |
The number of views |
covMat |
The covariance matrix |
numCov |
The number of covariates |
centMat |
A centering matrix |
nLambda1s |
The number of dummy variables |
compositional, links, indepModels, meanVarTrends, numVars, distributions, data, offsets, varPosts, paramMats, paramEsts |
Lists of information 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