GFAsample: Generate data from CCA/BIBFA/GFA model

In CCAGFA: Bayesian Canonical Correlation Analysis and Group Factor Analysis

Description

Generate data from a CCA/BIBFA/GFA model that has been learned with GFA. The most likely use of this function is for model checking.

Usage

CCAsample(model, N)
GFAsample(model, N)

Arguments

model	A list of model parameters as returned by GFA.
N	How many samples to draw.

Details

The code randomly samples Z from the prior and then draws N observations for both views.

Value

Y	The data, a list of N times D[m] matrices.
Z	The latent variables, a N times K matrix.

Author(s)

Seppo Virtanen and Arto Klami

See Also

GFA,CCA

Examples

  #
  # Assume we have a variable model which has been learned with
  # GFAexperiment() or GFA().
  # Then the following line would draw 100 samples from it:
  #
  # Y2 <- GFAsample(model,100)
  #

Example output

CCAGFA documentation built on May 2, 2019, 12:36 p.m.