Package: genetics
Title: Population Genetics
Version: 1.3.3
Date: 2008-04-29
Author: Gregory Warnes, with contributions from Gregor Gorjanc,
Friedrich Leisch, and Michael Man.
Maintainer: Gregory Warnes <warnes@bst.rochester.edu>
Depends: combinat, gdata, gtools, MASS, mvtnorm
Description: Classes and methods for handling genetic data. Includes
classes to represent genotypes and haplotypes at single markers up
to multiple markers on multiple chromosomes. Function include
allele frequencies, flagging homo/heterozygotes, flagging carriers
of certain alleles, estimating and testing for Hardy-Weinberg
disequilibrium, estimating and testing for linkage disequilibrium,
...
biocViews: Genetics
License: GPL
Packaged: Tue Apr 29 21:26:45 2008; warnes

Package: genetics
Title: Population Genetics
Version: 1.3.4
Date: 2008-08-20
Author: Gregory Warnes, with contributions from Gregor Gorjanc,
Friedrich Leisch, and Michael Man.
Maintainer: Gregory Warnes <warnes@bst.rochester.edu>
Depends: combinat, gdata, gtools, MASS, mvtnorm
Description: Classes and methods for handling genetic data. Includes
classes to represent genotypes and haplotypes at single markers up
to multiple markers on multiple chromosomes. Function include
allele frequencies, flagging homo/heterozygotes, flagging carriers
of certain alleles, estimating and testing for Hardy-Weinberg
disequilibrium, estimating and testing for linkage disequilibrium,
...
biocViews: Genetics
License: GPL
Packaged: Wed Aug 20 15:23:42 2008; warnes

classes to represent genotypes and haplotypes at single markers
up to multiple markers on multiple chromosomes. Function
include allele frequencies, flagging homo/heterozygotes,
flagging carriers of certain alleles, estimating and testing
for Hardy-Weinberg disequilibrium, estimating and testing for

Title: A New, Fast, and Outlier Resistant Hierarchical Clustering
person("Maciej", "Bartoszuk", role = "aut",
Description: A new hierarchical clustering linkage criterion:
the Genie algorithm links two clusters in such a way that a chosen
economic inequity measure (e.g., the Gini index) of the cluster
sizes does not increase drastically above a given threshold. Benchmarks
indicate a high practical usefulness of the introduced method:
it most often outperforms the Ward or average linkage in terms of
the clustering quality while retaining the single linkage speed.