FamAgg

DOI: 10.18129/B9.bioc.FamAgg    

This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see FamAgg.

Pedigree Analysis and Familial Aggregation

Bioconductor version: 3.11

Framework providing basic pedigree analysis and plotting utilities as well as a variety of methods to evaluate familial aggregation of traits in large pedigrees.

Author: J. Rainer, D. Taliun, C.X. Weichenberger

Maintainer: Johannes Rainer <johannes.rainer at eurac.edu>

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

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("FamAgg")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("FamAgg")

 

HTML R Script Pedigree Analysis and Familial Aggregation
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews Genetics, Software
Version 1.16.0
In Bioconductor since BioC 3.3 (R-3.3) (4.5 years)
License MIT + file LICENSE
Depends methods, kinship2, igraph
Imports gap (>= 1.1-17), Matrix, BiocGenerics, utils, survey
LinkingTo
Suggests BiocStyle, knitr, RUnit, rmarkdown
SystemRequirements
Enhances
URL https://github.com/EuracBiomedicalResearch/FamAgg
BugReports https://github.com/EuracBiomedicalResearch/FamAgg/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package FamAgg_1.16.0.tar.gz
Windows Binary FamAgg_1.16.0.zip
macOS 10.13 (High Sierra) FamAgg_1.16.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/FamAgg
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/FamAgg
Package Short Url https://bioconductor.org/packages/FamAgg/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: