symbolizer: Symbolic Specifications, Interpretations, and Teachable Stories for Statistical Models

Turns fitted distributional, multivariate, latent-variable, spatial, mixed-effect, meta-analytic, and additive models into structured symbolic specifications that render as publication-ready LaTeX equations, assumption tables, formula bridges, parameter interpretations, structural model comparisons, methods-section paragraphs, and structural DAGs. First-class methods for 'drmTMB', 'gllvmTMB', 'glmmTMB', 'brms', 'lme4', 'MCMCglmm', 'sdmTMB', 'stats::lm' / 'stats::glm', 'metafor', and 'mgcv'. Complementary to 'equatiomatic' for one-formula models.

See also

Useful links:

• https://itchyshin.github.io/symbolizer/

• https://github.com/itchyshin/symbolizer

• Report bugs at https://github.com/itchyshin/symbolizer/issues

Author

Maintainer: Shinichi Nakagawa itchyshin@gmail.com (ORCID) [copyright holder]

Authors:

• Shinichi Nakagawa itchyshin@gmail.com (ORCID) [copyright holder]