NEWS (original) (raw)

midr 0.5.1.901

• Corrected typos and improved clarity in the documentation.

midr 0.5.1.900

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

midr 0.5.1

Second release on CRAN.

midr 0.5.0.909

• Vectorized the design matrix encoding process infactor.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., changedmax.bars to max.terms, max.nrowto max.rows, etc.).
• Deprecated weighted() and its family functions.
• Deprecated mid.extract() andmid.frames().

midr 0.5.0.908

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

midr 0.5.0.906

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

midr 0.5.0.905

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

midr 0.5.0.904

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

midr 0.5.0.903

• 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.

midr 0.5.0.902

• 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”.

midr 0.5.0.901

• 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 tocolor.theme().

midr 0.5.0.900

• Default color themes can now be set globally via R options:midr.diverging, midr.qualitative andmidr.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.

midr 0.5.0

First release on CRAN.

midr 0.4.9.909

• The accompanying working paper is now available on arXiv.