jacLatentVars: Evaluate the jacobian for estimating the latent variable for...

View source: R/jacLatentVars.R

jacLatentVarsR Documentation

Evaluate the jacobian for estimating the latent variable for one view

Description

Evaluate the jacobian for estimating the latent variable for one view

Usage

jacLatentVars(
  latentVar,
  data,
  distribution,
  paramEsts,
  paramMats,
  offSet,
  meanVarTrend,
  n,
  varPosts,
  mm,
  indepModel,
  latentVarsLower,
  compositional,
  allowMissingness,
  ...
)

Arguments

latentVar

the latent variable estimates

distribution, data, varPosts, compositional, meanVarTrend, offSet, paramEsts, paramMats, indepModel

Characteristics of each view

n

the number of samples

mm

the current dimension

latentVarsLower

the lower dimensional latent variables

allowMissingness

a boolean, should missing values be allowed

...

additional arguments passed on to score and jacobian functions

Value

The diagonal of the jacobian matrix


CenterForStatistics-UGent/compIntegrate documentation built on Aug. 4, 2023, 1:08 p.m.