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FamAgg

This is the development version of FamAgg; for the stable release version, see FamAgg.

Pedigree Analysis and Familial Aggregation

Bioconductor version: Development (3.18)

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 "4.3") and enter: 

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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

Details

biocViews Genetics, Software
Version 1.29.0
In Bioconductor since BioC 3.3 (R-3.3) (7.5 years)
License MIT + file LICENSE
Depends methods, kinship2, igraph
Imports gap (>= 1.1-17), Matrix, BiocGenerics, utils, survey
Linking To
Suggests BiocStyle, knitr, RUnit, rmarkdown
System Requirements
Enhances
URL https://github.com/EuracBiomedicalResearch/FamAgg
Bug Reports https://github.com/EuracBiomedicalResearch/FamAgg/issues
See More
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_1.29.0.tar.gz
Windows Binary FamAgg_1.29.0.zip (64-bit only)
macOS Binary (x86_64) FamAgg_1.29.0.tgz
macOS Binary (arm64) FamAgg_1.29.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/FamAgg
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/FamAgg
Bioc Package Browser https://code.bioconductor.org/browse/FamAgg/
Package Short Url https://bioconductor.org/packages/FamAgg/
Package Downloads Report Download Stats