ANOVAmodeller

ANOVAmodeller is a software tool intended for statistical modelling using analysis of variance (ANOVA) methods. It supports the specification of experimental designs and the estimation of factor effects across fixed, random, and mixed-effects models, enabling researchers to assess main effects, interactions, and contrasts within complex designs.

Typically supports one-way and multi-factor designs, repeated measures, crossed and nested structures, and unbalanced data. Model specification relies on a formula syntax such as Y ~ A + B + A:B, with optional random effects terms. Estimation is available via ordinary least squares for fixed-effects models and restricted maximum likelihood (REML) or maximum likelihood for mixed models.

Data handling and diagnostics: imports CSV, Excel, and statistical data formats; handles missing data; provides diagnostic plots and tests: residuals, QQ plots, Levene's test, Shapiro-Wilk; computes effect sizes (eta-squared, partial eta-squared, omega-squared) and confidence intervals.

Outputs: ANOVA tables, estimated marginal means, and post hoc comparisons (Tukey, Bonferroni, Scheffé). Model selection criteria such as AIC and BIC; hypothesis tests including Type I/II/III sums of squares considerations.

Interface and interoperability: features GUI and scripting interface; supports batch processing and reproducible workflows; can export results to CSV, LaTeX, or integration with R and Python environments; suitable for education and research across psychology, biology, agriculture, and engineering.

Development: multiple implementations exist, including open-source and proprietary variants; typical licensing varies by distribution.