Open-source software developed by the ANU-AAGI team. You can find all our projects on GitHub.
heritable
Heritability Estimation from Linear Mixed Models
Provides flexible estimation of broad- and narrow-sense heritability from linear mixed models fitted with asreml or lme4. Implements commonly used estimators, including the Standard, Cullis, Oakey, Piepho, and Delta methods. Supports complex model structures, marginal and environment-specific heritability for genotype-by-environment models, and confidence intervals based on parametric bootstrap.
install.packages("heritable")
broom.asreml
Tidy Methods for ASReml-R Objects
Extracts, summarises, and tidies fitted asreml model objects into consistent, analysis-ready formats similar to those provided by broom and broom.mixed. Provides convenient access to model coefficients, variance parameters, fitted values, residuals, predictions, and other commonly used model components.
pak::pak("anu-aagi/broom.asreml")
torch-openreml
PyTorch-based AI-REML Estimation for Linear Mixed Models
Fits linear mixed-effects models using the Average Information REML (AI-REML) algorithm on a PyTorch backend that runs on CPU, GPU, and other available accelerators. Covariance structures are specified through a modular system of matrices and operators, with automatic or manually specified gradients.
pip install git+https://github.com/anu-aagi/torch-openreml.git
openreml
R Bindings for torch-openreml
R bindings for torch-openreml, a PyTorch-based AI-REML solver for linear mixed models with composable covariance structures.
remotes::install_github("anu-aagi/openreml")cropscan
Scanning Crop Field Experiments
Initial data analysis for crop field experiments.
pak::pak("anu-aagi/cropscan")