Package: BPHO
Version: 1.2-3
Title: Bayesian Prediction with High-order Interactions
Author: Longhai Li <longhai@math.usask.ca>
Maintainer: Longhai Li <longhai@math.usask.ca>
Depends: R (>= 2.5.1)
Description:
     This software is used in two situations. The first is to predict the next outcome based on the previous states of a discrete sequence. The second is to classify a discrete response  based on a number of discreate covariates. In both situations, we use Bayesian logistic regression models that consider the high-order interactions. The time arising from using high-order interactions is reduced greatly by our compression technique that represents a group of original parameters as a single one in MCMC step. In this version, we use log-normal prior for the hyperparameters. When it is used for the second situation --- classification, we consider the full set of interaction patterns up to a specified order.
License:GPL (>=2)
URL: \url{http://www.r-project.org}, \url{http://math.usask.ca/~longhai}
Packaged: Fri Feb 22 10:42:21 2008; longhai
