Plot a psave object

Three diagnostic displays for a psave() fit:

"balance": a Love plot of covariate and prognostic-score balance before/after weighting, via cobalt::love.plot() (dispatched through bal.tab.psave(); cobalt is an Import, so always available).
"distribution": the distribution of the propensity scores by treatment group: grey curves for the candidate models, a colored curve for the selected average (base graphics). Inspect this for extreme candidate scores.
"criterion": the selection criterion over the \(\lambda\) grid: exact for up to three candidates (a curve for M = 2, a colored grid map for M = 3); for M > 3, one profile per candidate (the minimum criterion value attainable at each value of \(\lambda_m\)). Requires the stored path (keep.path = TRUE and a grid of at most 100,000 rows).

Usage

# S3 method for class 'psave'
plot(x, type = c("balance", "distribution", "criterion"), ...)

x: A psave object.
type: One of "balance" (default), "distribution", "criterion".
...: For "balance", further arguments to cobalt::love.plot() (e.g., thresholds = 0.1); otherwise further graphical parameters passed to the base plotting calls.

For "balance", the ggplot object from cobalt::love.plot() (invisibly, after printing); otherwise x, invisibly.