plot_summs: expressing significance levels

[ChrisWaloszek]

Would it be feasible to express significance levels in plots generate with plot_summs()?

• For a single model plot, one could envision different plot symbols conditional on the significance level. For example, all non-significant coefficients could be plotted with a hallow square symbol, all significant coefficients with filled symbols (* = upside triangle, ** = downside triangle, *** up-down triangles)
• For multiple models, one could continue this coding, with each model having a different color. Alternatively one could consider plotting estimates with different opaqueness, i.e. all non-significant estimates more transparently.
  Thanks a lot for considering this feature request

[ChrisWaloszek]

The "point.shape" argument to plot_summs() currently permits only true/false. The symbol is either given in advance (by a fixed symbol order) or the same for all models.
Would it be feasible to pass a vector of PCH symbols to manually choose the symbol for each model? That would be very helpful, many thanks!

[jacob-long]

The latest commit in the dev branch adds the ability to choose points by passing a vector of shapes to point.shape. The original request is quite a bit more complicated and I'm not sure if/when I'll get to it — I've generally been moving towards removing features that focus on statistical significance if they have any maintenance burden.