JNplots

JNplots provides visualization and interpretation of Johnson–Neyman technique outputs for two-way interactions in linear models as an R package.

Key Features:

• Johnson–Neyman visualization: Generates plots that display regions of significance and non-significance for interaction effects estimated via the Johnson–Neyman technique.
• Categorical moderators: Includes functions specifically for evaluating and visualizing two-way interactions when the moderator is categorical.
• Continuous moderators: Includes functions specifically for evaluating and visualizing two-way interactions when the moderator is continuous.
• Phylogenetic corrections: Supports phylogenetically informed models and allows specification of different phylogenetic correlation structures.
• Customizable graphical outputs: Produces adjustable plots to represent interaction terms and Johnson–Neyman regions with configurable aesthetics.

Scientific Applications:

• Ecology and evolution: Interpreting interaction effects in ecological and evolutionary datasets.
• Allometric studies: Assessing how size-related variables moderate relationships between traits.
• Macroevolutionary research: Evaluating interaction patterns in comparative evolutionary analyses that incorporate phylogeny.
• Experimental analyses: Visualizing and interpreting interaction effects from controlled experiments with moderators.

Methodology:

Applies the Johnson–Neyman technique to two-way interactions in linear models; provides functions for categorical and continuous moderators; implements phylogenetically informed models with selectable phylogenetic correlation structures.