Plots PRISM results. Options include "tree", "forest", "resample", and "PLE:waterfall".
# S3 method for PRISM
plot(x, type = "tree", estimand = NULL,
grid.data = NULL, grid.thres = ">0", tree.thres = NULL,
est.resamp = TRUE, tree.plots = "outcome", nudge_out = 0.1,
width_out = 0.5, nudge_dens = ifelse(tree.plots == "both", 0.3, 0.1),
width_dens = 0.5, ...)PRISM object
Type of plot (default="tree", tree plot + parameter estimates/outcome and or probability density plots). Other options include "forest" (forest plot for overall and subgroups),"PLE:waterfall" (waterfall plot of PLEs), "PLE:density" (density plot of PLEs), "resample" (resampling distribution of parameter estimates for overall and subgroups), and "heatmap" (heatmap of ple estimates/probabilities). For "tree" and "forest", CIs are based on the observed data unless resampling is used. For bootstrap resampling, if calibrate=TRUE, then calibrated CIs along are shown, otherse CIs based on the percentile method are shown.
For "resample" plot only, must be specify which estimand to visualize. Default=NULL.
Input grid of values for 2-3 covariates (if 3, last variable cannot be continuous). This is required for type="heatmap". Default=NULL.
Threshold for PLE, ex: I(PLE>thres). Used to estimate P(PLE>thres) for type="heatmap". Default is ">0". Direction can be reversed and can include equality sign (ex: "<=").
Probability threshold, ex: P(Mean(A=1 vs A=0)>c. Default=NULL, which defaults to using ">0", unless param="param_cox", which "P(HR(A=1 vs A=0))<1". If a density plot is included, setting tree.thres=">c" will use green colors for values above c, and red colors for values below c. If tree.thres="<c", the reverse color scheme is used.
Should plot present resampling based estimates? Default=TRUE if bootstrap or CV based resampling is used. Only applicable for type="submod". If bootstrap calibration is used, calibrated CIs are presented. If no calibration, then percentile Cis are presented with the smoothed bootstrap point-estimates.
Type of plots to include in the "tree" plot. Default="outcome" (boxplots of treatment-specific outcomes, or counterfactual estimates if PLE!=NULL). For "density", the estimated probability density of the treatment effects is shown (normal approximation, unless resampling is used). "both" combines both plots.
Nudge tree outcome plot (see ggparty for details)
Width of tree outcome plot (see ggparty for details)
Nudge tree density plot
Width of density tree outcome plot
Additional arguments (currently ignored).
Plot (ggplot2) object