datalorax/equatiomatic

What it solves

equatiomatic is an R package designed to eliminate the manual effort of writing LaTeX code for statistical models. Instead of manually translating a fitted model's formula into a mathematical equation, users can automatically generate the LaTeX representation of that model.

How it works

The package provides the extract_eq() function, which takes a fitted model object (such as those created by lm(), glm(), or MASS::polr()) and converts it into a LaTeX string. It handles complex scenarios such as shortcut syntax (e.g., mpg ~ .), categorical variables with subscripts for different levels, and the preservation of variable order from the original formula.

Who it’s for

It is primarily for researchers, statisticians, and data scientists using R who need to report their mathematical models in LaTeX-formatted documents (like R Markdown).

Highlights

• Broad Model Support: Supports various models including linear regression (lm), logistic and probit regression (glm), and ordered logistic/probit regression (MASS::polr and ordinal::clm).
• Customizable Appearance: Offers options to wrap long equations across multiple lines, control the position of mathematical operators, and toggle between italicized variables and \operatorname{} wrapping.
• Coefficient Integration: Can return actual numeric coefficients instead of generic Greek letters (e.g., $\beta_1$) using the use_coefs = TRUE argument.
• RStudio Integration: Includes a preview_eq() function for quick visual verification of the equation in RStudio.