Last data update: 2014.03.03

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Results 1 - 5 of 5 found.
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luca : Likelihood inference from case-control data Under Covariate Assumptions (LUCA)

Package: luca
Title: Likelihood inference from case-control data Under Covariate
Assumptions (LUCA)
Version: 1.0-5
Author: Ji-Hyung Shin <shin@sfu.ca>, Brad McNeney
<mcneney@stat.sfu.ca>, Jinko Graham <jgraham@stat.sfu.ca>
Maintainer: Ji-Hyung Shin <shin@sfu.ca>
Depends: R (>= 2.0.0), survival, genetics
Description: Likelihood inference in case-control studies of a rare
disease under independence or simple dependence of genetic and
non-genetic covariates
License: GPL-2
URL: http://stat-db.stat.sfu.ca:8080/statgen/research/luca
Packaged: 2009-05-05 23:05:14 UTC; jshin
Repository: CRAN
Date/Publication: 2009-05-05 18:08:53

● Data Source: CranContrib
● Cran Task View: Genetics
● 0 images, 3 functions, 1 datasets
● Reverse Depends: 0

MasterBayes : ML and MCMC Methods for Pedigree Reconstruction and Analysis

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

● Data Source: CranContrib
● Cran Task View: Bayesian
1 images, 31 functions, 2 datasets
Reverse Depends: 1

forensic : Statistical Methods in Forensic Genetics

Package: forensic
Type: Package
Title: Statistical Methods in Forensic Genetics
Version: 0.2
Date: 2007-06-10
Author: Miriam Marusiakova (Centre of Biomedical Informatics, Institute
of Computer Science, Academy of Sciences of the Czech Republic)
Acknowledgement: The work was supported by the project 1M06014 of the
Ministry of Education, Youth and Sports of the Czech Republic.
Maintainer: Miriam Marusiakova <maruskay@gmail.com>
Description: The statistical evaluation of DNA mixtures, DNA profile
match probability
LazyLoad: yes
Depends: R (>= 2.4.0), genetics, combinat
License: GPL
Packaged: 2012-10-29 08:58:46 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:58:46

● Data Source: CranContrib
● 0 images, 5 functions, 0 datasets
● Reverse Depends: 0

introgress : methods for analyzing introgression between divergent lineages

Package: introgress
Type: Package
Title: methods for analyzing introgression between divergent lineages
Version: 1.2.3
Date: 2010-01-20
Author: Zachariah Gompert, C. Alex Buerkle
Maintainer: C. Alex Buerkle <buerkle@uwyo.edu>
Depends: nnet, genetics, RColorBrewer
Description: introgress provides functions for analyzing introgression
of genotypes between divergent, hybridizing lineages, including
estimating genomic clines from multi-locus genotype data and
testing for deviations from neutral expectations. Functions are
also provided for maximum likelihood estimation of molecular
hybrid index and graphical analysis.
License: GPL (>= 2)
URL: http://www.uwyo.edu/buerkle/software/introgress/
LazyLoad: yes
Packaged: 2012-10-29 08:59:02 UTC; ripley
Repository: CRAN
Date/Publication: 2012-10-29 08:59:02

● Data Source: CranContrib
● 0 images, 22 functions, 10 datasets
● Reverse Depends: 0

boostSeq : Optimized GWAS cohort subset selection for resequencing studies

Package: boostSeq
Version: 1.0
Date: 2012-08-10
Title: Optimized GWAS cohort subset selection for resequencing studies
Author: c(person("Milan Hiersche", "Developer", email =
"mihi@uni-muenster.de")
Maintainer: Milan Hiersche <mihi@uni-muenster.de>
Depends: R (>= 2.11.0), genetics, lpSolveAPI
Description: This package contains functionality to select a subsample
of a genotyped cohort e.g. from a GWAS that is preferential for
resequencing under the assumtion that causal variants share a
haplotype with the risk allele of associated variants. The
subsample is selected such that is contains risk alleles at
maximum frequency for all SNPs specified. Phentoypes can also
be included as additional variables to obtain a higher fraction
of extreme phenotypes. An arbitrary number of SNPs and/or
phentoypes can be specified for enrichment in a single
subsample.
License: GPL (>= 2)
URL: http://www.r-project.org
BugReports: mihi@uni-muenster.de
Packaged: 2012-08-10 12:37:31 UTC; milan
Repository: CRAN
Date/Publication: 2012-08-11 15:09:33

● Data Source: CranContrib
● 0 images, 2 functions, 0 datasets
● Reverse Depends: 0