ggpedigree provides modern tools for visualizing family trees and
pedigree structures using both ggplot2 and plotly. Specifically, it
enables the creation of static and interactive pedigree plots that can
accommodate complex family relationships, including duplicated
individuals and various mating structures.
The package complements the behavior genetics toolkit BGmisc
[Garrison et al. (2024) doi:10.21105/joss.06203] for tasks such as
pedigree validation and computing relatedness matrices. Core plotting
functions (ggPedigree(), ggPedigreeInteractive(),
calculateCoordinates()) work on any rectangular pedigree and ship with
built-in example data, while relatedness workflows reuse matrix builders
from BGmisc. Due to the impending deprecation of kinship2, version
1.0 incorporates the layout helper functions from kinship2. The pedigree
alignment algorithms are adapted from ‘kinship2’ [Sinnwell et
al. (2014) doi:10.1159/000363105]. We gratefully acknowledge the
original authors: Jason Sinnwell, Terry Therneau, Daniel Schaid, and
Elizabeth Atkinson for their foundational work.
See the package vignettes for end-to-end tutorials, including relatedness matrices and interactive plots.
You can install the released version of ggpedigree from CRAN with:
install.packages("ggpedigree")To install the development version of ggpedigree from
GitHub use:
# install.packages("devtools")
devtools::install_github("R-Computing-Lab/ggpedigree")Here is a basic example of how to use ggpedigree to visualize a
pedigree structure. The potter dataset contains simulated pedigree
data for the Weasley family from the Harry Potter series.
library(ggpedigree) # ggPedigree lives here
library(BGmisc) # helper utilities & example data
potter <- BGmisc::potter # load example data
ggPedigree(potter,
famID = "famID",
personID = "personID"
)ggPedigree(potter,
famID = "famID",
personID = "personID",
config = list(
color_theme = "greyscale"
)
)If you use ggpedigree in your research or wish to refer to it, please cite the following:
citation(package = "ggpedigree")
Garrison S (2026). ggpedigree: Visualizing Pedigrees with ‘ggplot2’ and ‘plotly’. R package version 1.1.0.3, https://github.com/R-Computing-Lab/ggpedigree/.
A BibTeX entry for LaTeX users is
@Manual{,
title = {ggpedigree: Visualizing Pedigrees with 'ggplot2' and 'plotly'},
author = {S. Mason Garrison},
year = {2026},
note = {R package version 1.1.0.3},
url = {https://github.com/R-Computing-Lab/ggpedigree/},
}
Contributions to the ggpedigree project are welcome. For guidelines on how to contribute, please refer to the Contributing Guidelines. Issues and pull requests should be submitted on the GitHub repository. For support, please use the GitHub issues page.
The development of ggpedigree follows a GitFlow branching strategy:
- Feature Branches: All major changes and new features should be developed on separate branches created from the dev branch. Name these branches according to the feature or change they are meant to address.
- Development Branch: The
devbranch is the main development branch where all feature branches are merged. This branch contains the latest changes and is used for testing and development purposes. - Main Branch (
main): The main branch mirrors the stable state of the project as seen on CRAN. Only fully tested and approved changes from the dev branch are merged into main to prepare for a new release.
ggpedigree is licensed under the GNU General Public License v3.0. For more details, see the LICENSE.md file.


