milorGWAS

cranv0.7.1

Mixed Logistic Regression for Genome-Wide Analysis Studies (GWAS). Fast approximate methods for mixed logistic regression in genome-wide analysis studies (GWAS). Two computationnally efficient methods are proposed for obtaining effect size estimates (beta) in Mixed Logistic Regression in GWAS: the Approximate Maximum Likelihood Estimate (AMLE), and the Offset metho

License GPL-3strong copyleft0 versions1 maintainers2 deps68 weekly dl
https://CRAN.R-project.org/package=milorGWAS
37
/ 100
Health
use with caution

[email protected] low health (37/100) — consider alternatives

  • Low health score (37/100)
Health breakdown0 – 100
10/25
maintenance
0/20
popularity
25/25
security
0/15
maturity
2/15
community
Vulnerabilities
0
none known

Health History

Dependency Tree

License Audit

Dependencies (2)
gastonRcpp
API access

Get this data programmatically — free, no authentication.

curl https://depscope.dev/api/check/cran/milorGWAS

First published · 2025-08-26 16:54:33

Last updated · 2025-08-26T15:30:02+00:00