Package News

wsMed 1.1.0

Added user-defined mediation models through form = "UD", paths, and GenerateModelCustom(), including sparse and reverse-order pathways.
Added standardized conditional effects, contrasts, and curves for continuous and categorical moderators through moderation_std and standardize_moderation(). Probe values remain fixed in raw moderator units; standardization scales vary jointly with each Monte Carlo or bootstrap draw.
Added forest plots (plot_effects()), categorical conditional-effect plots (plot_conditional_effects()), and contrast plots (plot_contrasts()).
Added standardized curve selection and Monte Carlo/bootstrap selection in plotting, and improved moderation curve labels.

Corrected interaction scaling in standardized Monte Carlo and bootstrap parameter tables while preserving dummy coding, difference-score intercepts, and scaled residual covariances. Invalid joint draws are counted and reported.
Corrected conditional effects to use fitted plug-in estimates, all mediation paths, and fitted moderator main effects. Continuous probes are evaluated exactly; direct-path moderation and contrast signs are corrected.
Multiple imputation now forwards fixed.x to every fit and evaluates nonlinear effects after pooling primitive coefficients. The Monte Carlo seed is forwarded.
Improved printing for ci_method = "both" and clarified effect scales.
Added case-insensitive values for form, Na, and ci_method, preserving existing defaults, unambiguous abbreviations, and validation rules.
Updated tutorials, vignette rebuilding, and the pkgdown function index, including documentation for custom models, standardization, and plotting.
Corrected the ci_method documentation to include "both" and the existing "mc" default, including when NULL is supplied.

Added NEWS.md for tracking package changes.
Improved print function for Monte Carlo and standardized results.
Added regression information in print function.
Replaced standardizedSolution_boot_ci() with semboottools::standardizedSolution_boot()
Added bootstrap p-values and support for CI type selection
Improved print.wsMed() output with detailed notes
Added: MCStd2() function for fully standardized Monte Carlo inference
Improved: Print method now supports delta = TRUE to show original SE and CI