summary.dcee_fit: Summary for DCEE fits

In MRTAnalysis: Assessing Proximal, Distal, and Mediated Causal Excursion Effects for Micro-Randomized Trials

Summary for DCEE fits

Description

Produce inference tables for distal causal excursion effects from a [dcee()] model. By default uses small-sample t-tests with df = object$df (subjects minus number of betas). If df is missing or nonpositive, falls back to large-sample normal (z) inference.

Usage

## S3 method for class 'dcee_fit'
summary(
  object,
  lincomb = NULL,
  conf_level = 0.95,
  show_control_fit = FALSE,
  ...
)

Arguments

object	An object of class "dcee_fit" returned by [dcee()].
lincomb	Optional numeric vector or matrix specifying linear combinations L \beta. If a vector of length p (number of betas), a single linear combination is evaluated. If a matrix, it must have p columns; each row defines one combination. Row names (if present) are used as labels.
conf_level	Confidence level for intervals (default 0.95).
show_control_fit	Logical; if TRUE, include compact information about the Stage-1 nuisance regressions (if available). When cross_fit = TRUE in [dcee()], regfit_a0/regfit_a1 refer to the last fold fit and are provided for inspection only.
...	Currently ignored.

Value

A list of class "summary.dcee_fit" with components:

• call — the original call

• df — degrees of freedom used for t-tests (may be NA)

• conf_level — the confidence level

• excursion_effect — data frame with coefficient table for \beta

• lincomb — optional data frame with linear-combination results

• control_fit — optional list describing Stage-1 fits (only if show_control_fit)

MRTAnalysis documentation built on Jan. 24, 2026, 5:07 p.m.