Description Usage Arguments Value
View source: R/jacLatentVarsConstr.R
Evaluate the jacobian for estimating the latent variable for one view for constrained ordination
| 1 2 3 | jacLatentVarsConstr(latentVar, data, distribution, paramEsts, offSet,
  meanVarTrend, numCov, covMat, varPosts, compositional, mm, indepModel,
  latentVarsLower, ...)
 | 
| 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 | 
The jacobian matrix
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.