Package: likeLTD
Title: Tools to Evaluate DNA Profile Evidence
Description: Tools to determine DNA profile Weight of Evidence.
For further information see the likeLTD guide provided,
or Balding, D.J. (2013) <DOI:10.1073/pnas.1219739110>.
Depends: R (>= 2.10), DEoptim, ggplot2, gtools, rtf
Suggests: svUnit, scales
Imports: gdata, tools, tcltk
Version: 6.1.0
Date: 2016-05-30
Author: David Balding, Adrian Timpson, Christopher Steele, Mayeul d'Avezac, James Hetherington.
Maintainer: Christopher Steele <c.steele.11@ucl.ac.uk>
License: GPL-3
URL: https://sites.google.com/site/baldingstatisticalgenetics/
NeedsCompilation: yes
Packaged: 2016-05-30 14:20:37 UTC; csteele
Repository: CRAN
Date/Publication: 2016-05-30 16:58:13
Package: genetics
Title: Population Genetics
Version: 1.3.8.1
Date: 2012-11-26
Author: Gregory Warnes, with contributions from Gregor Gorjanc,
Friedrich Leisch, and Michael Man.
Maintainer: Gregory Warnes <greg@warnes.net>
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: 2013-09-03 10:04:45 UTC; ripley
Repository: CRAN
Date/Publication: 2013-09-03 12:06:28
NeedsCompilation: no
Package: modMax
Type: Package
Title: Community Structure Detection via Modularity Maximization
Version: 1.1
Date: 2015-07-24
Author: Maria Schelling, Cang Hui
Maintainer: Maria Schelling <schelling.rmaintainer@vodafone.de>
Depends: gtools, igraph
Description: The algorithms implemented here are used to detect the community structure of a network.
These algorithms follow different approaches, but are all based on the concept of modularity maximization.
License: GPL-2
NeedsCompilation: no
Packaged: 2015-07-24 12:53:21 UTC; xxx
Repository: CRAN
Date/Publication: 2015-07-24 18:21:32
Package: MDplot
Version: 0.3.1
Date: 2016-04-28
Authors@R: person( given = "Christian", family = "Margreitter",
email = "christian.margreitter@gmail.com", role = c( "aut", "cre" ) )
Title: Visualising Molecular Dynamics Analyses
Depends: R (>= 3.0.0), methods, MASS, RColorBrewer, gplots, gtools
Description: Provides automatization for plot generation succeeding common molecular dynamics analyses.
This includes straightforward plots, such as RMSD (Root-Mean-Square-Deviation) and
RMSF (Root-Mean-Square-Fluctuation) but also more sophisticated ones such as
dihedral angle maps, hydrogen bonds, cluster bar plots and
DSSP (Definition of Secondary Structure of Proteins) analysis.
License: GPL-3
URL: https://github.com/MDplot/MDplot
LazyLoad: yes
Author: Christian Margreitter [aut, cre]
Maintainer: Christian Margreitter <christian.margreitter@gmail.com>
NeedsCompilation: no
Repository: CRAN
Packaged: 2016-04-28 12:34:05 UTC; margreitterc
Date/Publication: 2016-04-28 15:55:21
Package: HUM
Type: Package
Title: compute HUM value and visualize ROC curves
Version: 1.0
Date: 2013-10-25
Author: Natalia Novoselova,Junxi Wang,Jialiang Li, Frank Pessler,Frank Klawonn
Maintainer: Natalia Novoselova <novos65@mail.ru>
Description: Tools for computing HUM (Hypervolume Under the Manifold) value to estimate features ability
to discriminate the class labels, visualizing the ROC curve for two or three class labels.
License: GPL (>= 3)
Imports: rgl
Depends: R (>= 2.10), gtools, Rcpp (>= 0.10.5)
LinkingTo: Rcpp
LazyLoad: yes
URL: http://public.ostfalia.de/~klawonn/HUM.htm
Packaged: 2014-01-20 10:33:12 UTC; novosel
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-01-20 12:05:33
Package: MasterBayes
Title: ML and MCMC Methods for Pedigree Reconstruction and Analysis
Version: 2.52
Depends: coda, genetics, gtools, kinship2
Date: 2014-12-03
Author: Jarrod Hadfield
Maintainer: Jarrod Hadfield <j.hadfield@ed.ac.uk>
Description: The primary aim of MasterBayes is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled C++ for efficiency.
License: GPL (>= 2)
Packaged: 2014-12-03 17:54:52 UTC; jhadfiel
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2014-12-04 00:43:23
providing 
.