Package: mirf
Version: 1.0
Date: 2008-09-03
Title: MULTIPLE IMPUTATION AND RANDOM FORESTS FOR UNOBSERVABLE PHASE,
        HIGH-DIMENSIONAL DATA
Author: Yimin Wu, B. Aletta S. Nonyane and Andrea S. Foulkes
Maintainer: Yimin Wu <yiminwu@cs.umass.edu>
Depends: R (>= 2.5.1), haplo.stats, randomForest
Description: This package applies a combination of missing haplotype
        imputation via the EM algorithm of Excoffier and Slatkin(1995)
        and modelling trait-haplotype associations via the Random
        Forest algorithm. The EM algorithm is implemented by the
        function haplo.em (of the haplo.stats package) and the Random
        Forest algorithm is implemented by the randomForest function
        (of the randomForest package). This method is described in the
        published manuscript: B.A.S. Nonyane and A.S. Foulkes (2007)
        Multiple imputation and random forests (MIRF) for unobservable
        high-dimensional data. The International Journal of
        Biostatistics 3(1): Article 12.
License: BSD
Citation: Support for developing this R package was provided by the
        National Institute of Allergy and Infectious Diseases (NIAID)
        research award (PI:Foulkes, R01 AI056983).
URL: http://www-unix.oit.umass.edu/~foulkes/
Packaged: Tue Sep 9 14:51:00 2008; Yimin
Built: R 2.10.0; ; 2009-10-28 03:29:37 UTC; unix
