summary.ctEmpiricalBayesFit: Summarise empirical Bayes subject-wise ctsem fits

In ctsem: Continuous Time Structural Equation Modelling

Summarise empirical Bayes subject-wise ctsem fits

Description

Summarise empirical Bayes subject-wise ctsem fits

Usage

## S3 method for class 'ctEmpiricalBayesFit'
summary(
  object,
  use = c("rawest", "rawposterior"),
  probs = c(0.025, 0.5, 0.975),
  sdscale = c("unit", "rawsd"),
  minsd = 1e-06,
  digits = 4,
  ...
)

Arguments

object	Object returned by ctEmpiricalBayesFit.
use	'rawest' to summarise final-pass subject point estimates, or 'rawposterior' to pool final-pass subject raw posterior samples.
probs	Quantiles to report for transformed parameters.
sdscale	How to set model$pars$sdscale when reconstructing the adjusted single-subject empirical Bayes model from the final empirical raw distribution. 'unit' keeps any later random-effect SDs on the EB-standardised raw scale. 'rawsd' uses the final empirical raw SDs directly. Retained for compatibility; summary() no longer returns a reconstructed model.
minsd	Lower bound used for empirical raw SDs before model adjustment.
digits	Number of digits for printed summary tables.
...	Unused.

Value

Compact list containing fit settings, transformed-parameter summaries, outlier diagnostics, and transformed-parameter covariance / correlation matrices. The subject fit lists, raw estimate matrices, pass maps, and adjusted model remain on the original ctEmpiricalBayesFit object.

ctsem documentation built on June 30, 2026, 5:07 p.m.