Skip to main content

arg-lmm

This repository contains the source code for the ARG-RHE software for scalable variance component analysis using ancestral recombination graphs (ARGs), as well as other ARG-based linear mixed model analyses implemented in the ARG-LMM package. These methods are described in Zhu, Kalantzis et al., Cell Genomics, 2025.

For full usage guide, please refer to the arg-lmm manual. The source code, which relies on the arg-needle-lib library, is available in this repository. Additional scripts to reproduce the ARG-based linear mixed model analyses reported in Zhang et al., Nature Genetics, 2023 are available in this repository.

This package can be installed from PyPI, for example:

pip install arg-lmm

Licenses

The liu_sf method is copied from chiscore under MIT License instead of using PyPI due to a broken chi2comb dependency.

Citation

Zhu, Kalantzis, et al. (2025), "Fast variance component analysis using large-scale ancestral recombination graphs" https://doi.org/10.1101/2024.08.31.610262

Metadata

Release files for arg-lmm 0.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for arg-lmm 0.1.1
File Size Uploaded
arg_lmm-0.1.1.tar.gz 15.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for arg-lmm 0.1.1
File Interpreter ABI Platform
arg_lmm-0.1.1-py3-none-any.whl Python 3 none any Details

Total release size: 34.0 kB

Release files / arg_lmm-0.1.1.tar.gz

Download URL arg_lmm-0.1.1.tar.gz
Size 15.0 kB
Tags Source
SHA-256 checksum
How to use checksums
205cc60467cf8f9938f0530c7a3abdc81f15ddefee1bd8ff77a0a533244204a4
BLAKE2b-256 checksum
How to use checksums
a13ad79438a5b27defd0af950b6de820fdb98f1e4d6a6831253349b98242c719
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.9.17 {"installer":{"name":"uv","version":"0.9.17","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release files / arg_lmm-0.1.1-py3-none-any.whl

Download URL arg_lmm-0.1.1-py3-none-any.whl
Size 19.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
4ce71fb97b400cb83299a575d34d1b19d5602394a1f29c89afcf479be59e3522
BLAKE2b-256 checksum
How to use checksums
5f9b9df30bfebe650250d54af970ec3f4c365c771696d22471462b653593bf10
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via uv/0.9.17 {"installer":{"name":"uv","version":"0.9.17","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

Release history Release notifications | RSS feed

This release

0.1.1 This release

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page