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

In CenterForStatistics-UGent/compIntegrate: Compositional omics model based visual integration

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.