derivLagrangianFeatures: The score function to estimate the feature parameters

In combi: Compositional omics model based visual integration

Description

The score function to estimate the feature parameters

Usage

derivLagrangianFeatures(x, data, distribution, offSet, latentVars, numVar,
  paramEstsLower, mm, indepModel, meanVarTrend, weights, compositional,
  ...)

Arguments

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

Value

A vector with the evaluation of the score functions of the feature parameters

combi documentation built on Nov. 8, 2020, 5:34 p.m.