Visualizing GAMs and more

New features

GAM visualization

plot_gam and plot_gam_check for visualizing marginal effects of 1d smooths from mgcv models.

plot_gam_2d and plot_gam_by do the same for 2d smooths and 1d with 'by' option

plot_gam_3d takes plot_gam_2d to 3D with interactivity (via plotly)

Misc other

corr_heat does 2 and 3d heatmaps of correlation matrices.

color_contrast_checker checks foreground and background colors for web accessibility.

col2hex takes an R color and produces the associated hex value.

Website

This release primarily just notes the creation of the website.

New features

col2lab function takes a color input and creates lab values (suitable for use in the colorgorical function.

Coefficient plots

New features

Adds coefficient plots for models, i.e. visualizations of uncertainty intervals. Includes functionality for glm as well as mixed models from lmer and brms.

Initial release

Visibly is a handful of functions containing color palettes, themes, etc.

• some ready-made palettes, e.g. based on R blue and Stan red
• a function to quickly and easily create palettes with using colortools::complementary colortools::adjacent etc.
• clean, web-friendly themes for ggplot2 and plotly
• a function to interact with colorgorical