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@AAGI-AUS

Analytics for the Australian Grains Industry (AAGI)

Analytics, statistics, bioinformatics and modelling support for the Australian grains industry

Analytics for the Australian Grains Industry (AAGI)

Analytics for the Australian Grains Industry (AAGI) is a five-year strategic partnership aimed at harnessing analytics to drive the sector’s profitability and global competitiveness.

This GitHub organisation is the home for the AAGI project's publicly available outputs and other resources that can be shared.

AAGI is led by four strategic partners: Adelaide University, Curtin University, University of Queensland along with the Grains Research and Development Corporation. The strategic partners work with project and associate partner organisations that include leading Australian and international universities, federal and state government research agencies, and commercial technology and analytics providers, to expand the sector’s analytics capability and tackle the Australian grains industry’s biggest challenges.

AAGI-AUS R-Universe for R Users

AAGI maintains an R-Universe for easy installation of our R packages, https://aagi-aus.r-universe.dev/packages. You can enable it like so:

options(
  repos = c(
    aagi_aus = "https://aagi-aus.r-universe.dev",
    CRAN = "https://cloud.r-project.org"
  )
)

Once enabled, you can install any of our R packages by simply using install.packages("package_name_here"). More detailed install instructions are provided in the packages' respective repositories.

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  1. Repositories-Guidelines Repositories-Guidelines Public

    Provides guidance on the current state of the github repos and creating, managing and approving repositories and making changes to them, and instructions/recommendations on licencing.

  2. AAGI-Style-Guide-and-Logos AAGI-Style-Guide-and-Logos Public

    The AAGI Logo and Comms Style Guide and Logo Files

  3. InPlotSampling InPlotSampling Public

    A package for ranked set sampling and statistical inference

    R 5

  4. CBADASReml CBADASReml Public

    A collection of helper functions for small-plot trial analysis using ASReml-R

    R 1

  5. PacB-flow PacB-flow Public

    🌊 🔗 PacBio long reads assembly workflow based on Nextflow

    Nextflow

Repositories

Showing 10 of 50 repositories
  • AAGI-AUS/gene-visualisation's past year of commit activity
    TypeScript 0 0 2 0 Updated Nov 2, 2026
  • AAGIverse-shared-code Public

    Consolidate our analytical code and create a searchable database as part of AAGI-PBS ("AAGIverse")

    AAGI-AUS/AAGIverse-shared-code's past year of commit activity
    R 3 GPL-3.0 0 8 (2 issues need help) 1 Updated Nov 1, 2026
  • 3dmol-viewer-ccdm Public

    Protein-protein and interaction viewer for effector-target proteins

    AAGI-AUS/3dmol-viewer-ccdm's past year of commit activity
    HTML 0 BSD-3-Clause 0 5 0 Updated Oct 31, 2026
  • AAGISurveyApp Public

    A Shiny App Front End for Generating AAGI S&S Survey URLs

    AAGI-AUS/AAGISurveyApp's past year of commit activity
    R 0 0 0 0 Updated Oct 30, 2026
  • AAGI-Symposium-2026 Public

    AAGI Symposium 2026 Website Repository.

    AAGI-AUS/AAGI-Symposium-2026's past year of commit activity
    SCSS 0 1 2 0 Updated Oct 28, 2026
  • flexyBayes Public

    Bayesian mixed models written in ASReml or brms-style syntax, fitted through INLA or brms, with cross-engine triangulation as a first-class diagnostic

    AAGI-AUS/flexyBayes's past year of commit activity
    R 3 0 2 0 Updated Oct 22, 2026
  • effectsurf Public archive

    Interactive 3D Estimated Marginal Surfaces for conditional effect visualisation from fitted statistical models

    AAGI-AUS/effectsurf's past year of commit activity
    R 0 0 0 0 Updated Oct 22, 2026
  • kernR Public archive

    Kernel-based causal distributional testing for R (bd-HSIC, DR-DATE, DR-DETT)

    AAGI-AUS/kernR's past year of commit activity
    R 0 0 0 0 Updated Oct 22, 2026
  • PESTO Public archive

    Parameter Estimation, Surrogates, and Tooling for Optimisation — High-performance R package for model-independent parameter estimation and uncertainty quantification

    AAGI-AUS/PESTO's past year of commit activity
    R 0 0 0 0 Updated Oct 22, 2026
  • speed Public Forked from biometryhub/speed

    An R package to create spatially optimised experimental designs

    AAGI-AUS/speed's past year of commit activity
    R 0 5 0 0 Updated Oct 22, 2026