Changelog • midr

midr 0.5.2.905

Updated ggmid.mid.importance() and plot.mid.importance() to modify appearance of the plots when color themes are applied.

Memory-efficient interpret(): The model object no longer stores the massive fitted.matrix (the term-wise decomposition of the fitted values).
Optimized predict() engine: Re-implemented the prediction logic using a matrix-free approach.
On-demand Decomposition: Functions like mid.importance() now perform term-wise decomposition on-the-fly using the new optimized prediction engine.
mid.importance() introduced a new argument max.nkeeps (default: 10,000). While importance scores are calculated using the full dataset for maximum accuracy, the function now optionally retains only a weighted random sample of the term-wise predictions.
Standardized predict outputs: For type = "terms", the intercept is now stored in the constant attribute of the returned matrix, aligning with standard R conventions (e.g., predict.lm).
Removed the redundant fitted.matrix reference in interpret.default to prevent memory leaks during the estimation process.

interpret.formula() now supports unevaluated column names for the weights argument.

Enhanced plotting functions for “mid.importance” objects, allowing users to restrict which terms are displayed.
Fixed a bug that occurred when a link function is used with a response variable containing NA values.

Updated functions to enhance consistency with the ‘stats’ package, especially with regard to the return value for the stats::terms() function.

CRAN release: 2025-09-07

Third release on CRAN.

Changed some argument names for consistency (max.nterms, max.nplots, max.nrow).

CRAN release: 2025-08-27

Second release on CRAN.

Vectorized the design matrix encoding process in factor.encoder() and numeric.encoder() for improved performance.
Unified weighted.rmse() and its related functions into a single, more versatile weighted.loss() function.
Updated and improved various help documents for clarity and completeness.
Changed some argument names for consistency (e.g., changed max.bars to max.terms, max.nrow to max.rows, etc.).
Deprecated weighted() and its family functions.
Deprecated mid.extract() and mid.frames().

Rewrote color.theme() to significantly enhance its functionality and flexibility.

Fixed a memory leak issue where numeric.encoder() and factor.encoder() held an unnecessary reference to the execution environment of interpret.default().
Updated the hex logo and favicons.

Rewrote interpret.formula() and factor.encoder() to correctly support subset and drop.unused.levels arguments.
Updated get.yhat() methods to ensure prediction outputs always have the same length as the number of input observations.

Improved the computational efficiency of the parameter interpolation step in interpret.default().

Fixed a bug in interpret.default() that caused inconsistency between “fitted.values” and “residuals”.
Fixed an issue in mid.f() (mid.effect()) to correctly handle vector recycling when an input’s length is 1.
Fixed autoplot.mid.conditional() to avoid redundant evaluation of the “mid” object.
Updated the automatic determination method for the number of knots (k) in interpret().
Added support for type suffixes in color.theme() for easier theme specification.

Rewrote interpret.formula() to resolve environment issues related to stats::model.frame()
Added new tests to cover this improved functionality.
Refined the default diverging color theme “midr”.

Corrected the “HCL” color theme to be properly categorized as a “qualitative” theme.
Changed the rounding method used in numeric “encoder” objects.
Updated the article and examples related to color.theme().

Default color themes can now be set globally via R options: midr.diverging, midr.qualitative and midr.sequential.
Added the “HCL” color theme and set it as the new default for “qualitative” theme.
Fixed an issue in interpret.formula() to ensure the evaluated formula is correctly stored in the function call.

CRAN release: 2025-06-23

First release on CRAN.