derivLagrangianFeatures: The score function to estimate the feature parameters

Description Usage Arguments Value

View source: R/derivLagrangianFeatures.R

Description

The score function to estimate the feature parameters

Usage

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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.