plot.fps_effect_estimation: Plot diagnostics for fps_effect_estimation objects

In FPScausal: Functional Propensity Score for Causal Inference

Plot diagnostics for fps_effect_estimation objects

Description

Plot diagnostics for fps_effect_estimation objects

Usage

## S3 method for class 'fps_effect_estimation'
plot(
  x,
  type = "effect",
  point = NULL,
  which_domain = "treatment",
  alpha = NULL,
  max_efn = 4,
  ...
)

Arguments

x	An object of class "fps_effect_estimation".
type	Character. One of: "effect" Weighted estimate of \mu(t) (or \mu(s,t)) with CI ribbon and optional true-mu overlay. Uses bootstrap CI if available, otherwise analytical SE-based CI. "comparison" Weighted vs unweighted side by side, both with CI ribbons. "fpca_treatment" Scree + eigenfunctions of the treatment FPCA used in estimation. "fpca_outcome" Scree + eigenfunctions of the outcome FPCA (functional outcome only). "bootstrap_slice" 1-D slice(s) of the causal effect surface with bootstrap CI band. Pass a scalar or vector to point; multiple points yield a patchwork panel. Functional outcome only. "significance" Regions / points where the CI excludes 0.
point	Numeric scalar or vector. Time point(s) at which to slice the effect surface (for type = "bootstrap_slice").
which_domain	Character. Either "treatment" or "outcome" (for type = "bootstrap_slice").
alpha	Numeric. Significance level; defaults to x$alpha.
max_efn	Integer. Maximum eigenfunctions shown in FPCA panels.
...	Ignored.

Value

A ggplot2 object.

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