xLLiM (version 2.3)

data.xllim.trueparameters: True parameters used to simulate the datasets data.xllim and data.xllim.test

Description

data.xllim.trueparameters is a list containing the true parameters of the GLLiM model used to generate the datasets data.xllim and data.xllim.test. We set the number of covariates to D=50, number of responses to L=2 and we simulated a GLLiM model with K=5 components.

Usage

data(data.xllim.trueparameters)

Format

A list with the following elements

pi

A vector of length K of mixture weights i.e. prior probabilities for each component

c

An (L x K) matrix of means of responses (X)

Gamma

An (L x L x K) array of K matrices of covariances of responses (X)

A

An (D x L x K) array of K matrices of linear transformation matrices

b

An (D x K) matrix in which affine transformation vectors are in columns

Sigma

An (D x D x K) array of covariances of \(Y\)

data.xllim.trueparameters has the same that the values returned by gllim function.

See Also

xLLiM-package, data.xllim, gllim_inverse_map, sllim_inverse_map

Examples

  data(data.xllim.trueparameters)
  ## data.xllim.trueparameters$pi # A vector with K=5 elements
  ## data.xllim.trueparameters$c # A matrix with dimension L=2 x K=5
  ## data.xllim.trueparameters$Gamma # An array with dimension L=2 x L=2 x K=5
  ## data.xllim.trueparameters$A # An array with dimension D=50 x L=2 x K=5
  ## data.xllim.trueparameters$b # A matrix with dimension D=50 x K=5
  ## data.xllim.trueparameters$Sigma # An array with dimension D=50 x D=50 x K=5