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

View source: R/jacLatentVarsConstr.R

jacLatentVarsConstrR Documentation

Evaluate the jacobian for estimating the latent variable for one view for constrained ordination

Description

Evaluate the jacobian for estimating the latent variable for one view for constrained ordination

Usage

jacLatentVarsConstr(
  latentVar,
  data,
  distribution,
  paramEsts,
  offSet,
  meanVarTrend,
  numCov,
  covMat,
  varPosts,
  compositional,
  mm,
  indepModel,
  latentVarsLower,
  ...
)

Arguments

latentVar

current latent variable estimates

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

Characteristics of each view

numCov

the number of covariates

covMat

the covariates matrix

mm

the dimension

latentVarsLower

latent variable estimates of lower dimensions

...

additional arguments passed on to score and jacobian functions

Value

The jacobian matrix


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