FamAgg
Pedigree Analysis and Familial Aggregation
Bioconductor version: Release (3.17)
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("FamAgg")
):
Installation
To install this package, start R (version "4.3") 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 | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | Genetics, Software |
Version | 1.28.0 |
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_1.28.0.tar.gz |
Windows Binary | FamAgg_1.28.0.zip |
macOS Binary (x86_64) | FamAgg_1.28.0.tgz |
macOS Binary (arm64) | FamAgg_1.28.0.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 |