plot.fps_weighting: Plot diagnostics for fps_weighting objects

In FPScausal: Functional Propensity Score for Causal Inference

Plot diagnostics for fps_weighting objects

Description

Plot diagnostics for fps_weighting objects

Usage

## S3 method for class 'fps_weighting'
plot(x, type = "balance", max_efn = 4, ...)

Arguments

x	An object of class "fps_weighting".
type	Character. One of: "balance" Absolute Pearson correlations between each treatment FPC score and each confounder, before (red) and after (blue) weighting, displayed as connected point-line chart. "fpca_treatment" Scree plot (eigenvalues + cumulative PVE) and panel of leading eigenfunctions for the treatment FPCA. "fpca_covariates" Same as "fpca_treatment" for each functional covariate (returns a list of ggplot2 objects). "weights" Boxplot of the estimated weights with a horizontal reference line at the uniform weight 1/n.
max_efn	Integer. Maximum number of eigenfunctions to show in FPCA panels (default 4).
...	Ignored.

Value

A ggplot2 object (or a list of them for type = "fpca_covariates").

FPScausal documentation built on Aug. 9, 2026, 9:07 a.m.