Simulate Complex Traits from Genotypes
Overview
Simulate complex traits given a SNP genotype matrix and model parameters (the desired heritability, number of causal loci, and either the true ancestral allele frequencies used to generate the genotypes or the mean kinship for a real dataset). Emphasis on avoiding common biases due to the use of estimated allele frequencies. The code selects random loci to be causal, constructs coefficients for these loci and random independent non-genetic effects, and can optionally generate random group effects. Traits can follow three models: random coefficients, fixed effect sizes, and infinitesimal (multivariate normal). GWAS method benchmarking functions are also provided. Described in Yao and Ochoa (2022) doi:10.1101/2022.03.25.485885.
- Updated CRAN comments, for CRAN submission
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 12includes a package overview page
- Examples that run
- 100%12 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
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- Median days to close, 50 most recently updated closed issues
- 56
- Median days to close, 50 most recently updated closed PRs
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Issues over time
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/ochoalab/simtrait on 2026-10-25.
Dependencies
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.1.3Latest
- 1.1.0
- RR 4.2.0 released · 2022-04-22
- 1.0.212021-08-16
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-08-16
- Total releases
- 3 / 5 yrs
- License
- GPL-3 OSI
- Download size
- 323 KB
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