derivLagrangianFeatures: The score function to estimate the feature parameters

View source: R/derivLagrangianFeatures.R

derivLagrangianFeaturesR Documentation

The score function to estimate the feature parameters

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


CenterForStatistics-UGent/combi documentation built on Aug. 22, 2023, 11:02 p.m.