Title: Bayesian Sparse Factor Analysis model for the inference of
Description: This method tries to explain the gene-wise treatment
response ratios in terms of the latent pathways. It uses
bayesian sparse factor modeling to infer the loadings (weights)
of each pathway on its associated probesets as well as the
latent factor activity levels for each treatment.

Description: This method tries to explain the gene-wise treatment response ratios in terms of the latent pathways. It uses bayesian sparse factor modeling to infer the loadings (weights) of each pathway on its associated probesets as well as the latent factor activity levels for each treatment.

Title: Factor Mixture Analysis with covariates
Description: The package estimates Factor Mixture Analysis via the EM

Title: Combination of Factorial Methods and Cluster Analysis
Author: Pedro Cesar del Campo <pcdelcampon@unal.edu.co>,Campo Elias Pardo <cepardot@unal.edu.co>
Author: Ivan Diaz <ildiazm@unal.edu.co>,Mauricio Sadinle <msadinleg@unal.edu.co>
Maintainer: Campo Elias Pardo <cepardot@unal.edu.co>
Description: This package performs a multivariate exploration of a data table with factorial analysis and cluster methods.
Packaged: Wed Nov  5 15:09:50 2008; RevColEs

Author: Campo Elias Pardo <cepardot@unal.edu.co> and Pedro Cesar del Campo <pcdelcampon@unal.edu.co>, with the contributions from Ivan Diaz <ildiazm@unal.edu.co>,Mauricio Sadinle <msadinleg@unal.edu.co>.
Description: Multivariate exploration of a data table with factorial analysis and cluster methods.
Packaged: Tue Nov 18 19:56:48 2008; RevColEs

Author: Campo Elias Pardo <cepardot@unal.edu.co> and Pedro Cesar del
Campo <pcdelcampon@unal.edu.co>, with the contributions from
Description: Multivariate exploration of a data table with factorial

Camilo Jose Torres <cjtorresj@unal.edu.c>, Ivan Diaz
Packaged: Thu Nov 26 09:39:16 2009; cjtorresj

Packaged: 2010-11-05 21:32:25 UTC; estadistica

Packaged: 2011-05-15 18:24:31 UTC; estadistica

Packaged: 2011-05-17 09:37:38 UTC; estadistica

Author: Campo Elias Pardo <cepardot@unal.edu.co>, Pedro Cesar del Campo
<pcdelcampon@unal.edu.co> and Camilo Jose Torres
<cjtorresj@unal.edu.co>, with the contributions from Ivan Diaz