To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("CAnD")

In most cases, you don't need to download the package archive at all.

CAnD

   

This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see CAnD.

Perform Chromosomal Ancestry Differences (CAnD) Analyses

Bioconductor version: 3.3

Functions to perform the CAnD test on a set of ancestry proportions. For a particular ancestral subpopulation, a user will supply the estimated ancestry proportion for each sample, and each chromosome or chromosomal segment of interest. A p-value for each chromosome as well as an overall CAnD p-value will be returned for each test. Plotting functions are also available.

Author: Caitlin McHugh

Maintainer: Caitlin McHugh <mchughc at uw.edu>

Citation (from within R, enter citation("CAnD")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("CAnD")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("CAnD")

 

PDF R Script Detecting heterogenity in population structure across chromosomes with the "CAnD" package
PDF   Reference Manual

Details

biocViews GeneticVariability, Genetics, SNP, Software, StatisticalMethod
Version 1.4.0
In Bioconductor since BioC 3.1 (R-3.2) (1.5 years)
License Artistic-2.0
Depends
Imports methods, ggplot2, reshape
LinkingTo
Suggests RUnit, BiocGenerics, BiocStyle
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source CAnD_1.4.0.tar.gz
Windows Binary CAnD_1.4.0.zip
Mac OS X 10.9 (Mavericks) CAnD_1.4.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/CAnD/tree/release-3.3
Package Short Url http://bioconductor.org/packages/CAnD/
Package Downloads Report Download Stats

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