gscramble: Simulating Admixed Genotypes Without Replacement

A genomic simulation approach for creating biologically informed individual genotypes from empirical data that 1) samples alleles from populations without replacement, 2) segregates alleles based on species-specific recombination rates. 'gscramble' is a flexible simulation approach that allows users to create pedigrees of varying complexity in order to simulate admixed genotypes. Furthermore, it allows users to track haplotype blocks from the source populations through the pedigrees.

Version: 1.0.1
Depends: R (≥ 3.5.0)
Imports: dplyr, ggplot2, glue, magrittr, purrr, readr, rlang, stats, stringr, tibble, tidyr
Suggests: cowplot, knitr, rmarkdown, tidyverse
Published: 2024-02-28
DOI: 10.32614/CRAN.package.gscramble
Author: Eric C. Anderson ORCID iD [aut, cre], Rachael M. Giglio ORCID iD [aut], Matt G. DeSaix ORCID iD [aut], Timothy J. Smyser ORCID iD [aut]
Maintainer: Eric C. Anderson <eric.anderson at>
License: CC0
NeedsCompilation: no
Materials: README NEWS
CRAN checks: gscramble results


Reference manual: gscramble.pdf
Vignettes: Pedigrees Available from create_GSP()
A first tutorial for 'gscramble'
Permutation Options in 'gscramble'


Package source: gscramble_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): gscramble_1.0.1.tgz, r-oldrel (arm64): gscramble_1.0.1.tgz, r-release (x86_64): gscramble_1.0.1.tgz, r-oldrel (x86_64): gscramble_1.0.1.tgz


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