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APCtools 1.0.8 (2025-06)

• updated some ggplot2 dependencies in the plot_density functions to prevent the use of now deprecated ggplot2 arguments

APCtools 1.0.7 (2025-03)

• Slightly optimized the plot_hexamap plot borders by adding xpd = TRUE to par().

APCtools 1.0.6 (2024-05)

• Added argument legend_title to plot_APCheatmap.

APCtools 1.0.5 (2023-08)

• Added option to plot 95% confidence intervals for marginal APC effects in plot_marginalAPCeffects and plot_jointMarginalAPCeffects
• Added simple exponentiation of boundaries as second and default option for confidence intervals with log link also to plot_APCheatmap
• Fixed a bug in the handling of missing values for APC variables in plot_APCheatmap

APCtools 1.0.4 (2022-12)

• Fixed a bug in plot_1Dsmooth, which caused the confidence bounds to be twice as wide as they should be (on the level of the linear predictor)
• Added option to include the reference category in the plot output of plot_linearEffects
• Added second option for confidence intervals with log link (simple exponentiation of boundaries). This method is the new default for the argument method_expTransform in plot_linearEffects, plot_1Dsmooth and create_modelSummary.

APCtools 1.0.3 (2022-04)

• Fixed plot_densityMatrix, which wrongly assigned data to some cells in some situations

APCtools 1.0.2 (2022-04)

• Fixed computation of confidence intervals for smooth effects

APCtools 1.0.1 (2022-01)

• Fixed a unit test error raised by CRAN

APCtools 1.0.0 (2022-01)

• First stable package version

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.