FamAgg

This is the released version of FamAgg; for the devel version, see FamAgg.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3

Pedigree Analysis and Familial Aggregation

Bioconductor version: Release (3.23)

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")):

J. Rainer, D. Taliun, C.X. Weichenberger. FamAgg: Pedigree Analysis and Familial Aggregation. doi:10.18129/B9.bioc.FamAgg, R package version 1.40.0, https://bioconductor.org/packages/FamAgg.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("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")

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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Genetics, Software
Version	1.40.0
In Bioconductor since	BioC 3.3 (R-3.3) (10.5 years)
License	MIT + file LICENSE
Depends	methods, kinship2, igraph
Imports	gap (>= 1.1-17), Matrix, BiocGenerics, utils, survey
System Requirements
URL	https://github.com/EuracBiomedicalResearch/FamAgg
Bug Reports	https://github.com/EuracBiomedicalResearch/FamAgg/issues

Suggests	BiocStyle, knitr, RUnit, rmarkdown
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report	Build Report, r-universe

Package Archives

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

Source Package	FamAgg_1.40.0.tar.gz
Windows Binary (x86_64)	FamAgg_1.40.0.zip
macOS Binary (big-sur-x86_64)	FamAgg_1.40.0.tgz
macOS Binary (sonoma-arm64)	FamAgg_1.40.0.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