Documentation, guides, API references and more

Fit linear mixed models by residual maximum likelihood (REML) from Python, with prediction, plotting and variance-structure tools.

Fit linear mixed models by REML in R or Standalone — spatial and multi-environment trials, pedigree and genomic models, with a worked-example cookbook.

Comprehensive statistical analysis for research — data exploration, design of experiments, mixed models and reporting in one environment.

Design efficient field and laboratory experiments — resolvable incomplete-block, row-column and alpha designs with efficiency reporting.