New features

New parameter axesStyles in plotRSA: Define custom styles for LOC, LOIC, PA1, and PA2. Recognizes lty, lwd, and col. If you define a style for an axis, you have to provide all three parameters, otherwise a warning will be shown.
The cubic models CA, RRCA, CL, and RRCL have been implemented (see Humberg, Nestler, Schönbrodt, & Back, in preparation, for details on how to use these models) and the plot() function has been adapted respectively. The new functions caRange() and clRange() have been implemented. They should be applied when testing cubic models to ensure that the model is interpreted for the whole range of realistic predictor combinations.

Bug fixes/Glitches

The newly introduced a5 parameter was displayed as a second 'a1' in the 3d plot - this has been fixed.
When counting the rate of discrepant predictor combinatios, standardize the predictor difference at the predictors' grand standard deviation. This ensures that the percentage of (in)congruent predictors is independent of common linear transformations of the predictor variables. Accordingly, a predictor combination is now categorized as incongruent when X and Y differ by more than half a grand standard deviation from each other.