Closes #289 by adding the full-data predictor ranking and basic ranking proportions to plot.vsel() (as already pointed out at the end of https://github.com/stan-dev/projpred/pull/406#issue-1675173811, with the difference that I only mentioned non-cumulated ranking proportions there, but here, we also allow for cumulated ranking proportions). So this is very similar to #413, but for plot.vsel() instead of summary.vsel() and with the addition of the full-data predictor ranking (summary.vsel() has always had the full-data predictor ranking, so there was no need to add it).
Closes #289 by adding the full-data predictor ranking and basic ranking proportions to
plot.vsel()(as already pointed out at the end of https://github.com/stan-dev/projpred/pull/406#issue-1675173811, with the difference that I only mentioned non-cumulated ranking proportions there, but here, we also allow for cumulated ranking proportions). So this is very similar to #413, but forplot.vsel()instead ofsummary.vsel()and with the addition of the full-data predictor ranking (summary.vsel()has always had the full-data predictor ranking, so there was no need to add it).