Fourth release on CRAN. This version introduces significant memory efficiency improvements for large-scale data analysis.

Major Improvements

Optimized fitting process: Enhanced the space (and time) complexity when constructing large design matrices, especially for datasets with many observations.
Memory-efficient estimation: Introduced the save.memory option in interpret().
Improved design matrix constraints: Replaced the max.ncol argument with max.nelements in interpret() to provide more intuitive control over the memory consumption of the design matrix.

Other Enhancements

Memory-free prediction engine: Re-implemented the prediction logic to avoid storing massive term effect matrices, significantly reducing the memory usage of interpret() and predict.mid().
Flexible formatting: plot.mid.breakdown() and ggmid.mid.breakdown() now support format.args and enhanced label.format for better visualization control.
CRAN compatibility: Updated various internal functions to ensure consistent behavior with the 'stats' package (especially with stats::terms()) and improved documentation clarity.