derivLagrangianFeatures {combi} | R Documentation |
The score function to estimate the feature parameters
derivLagrangianFeatures(x, data, distribution, offSet, latentVars, numVar, paramEstsLower, mm, indepModel, meanVarTrend, weights, compositional, ...)
x |
current parameter estimates |
data |
A list of data matrices |
distribution, compositional, meanVarTrend, offSet, numVar, indepModel, paramEstsLower |
Characteristics of the view |
latentVars |
A vector of latent variables |
mm |
the current dimension |
weights |
The normalization weights |
... |
arguments to the jacobian function, currently ignored |
A vector with the evaluation of the score functions of the feature parameters