ctmaMMtoCINT: ctmaMMtoCINT

In CoTiMA: Continuous Time Meta-Analysis ('CoTiMA')

ctmaMMtoCINT

Description

Compute covariance of CINT-based random intercepts obtained with a MANIFESTMEANS model specification and vice versa.

Usage

ctmaMMtoCINT(
  ctmaFitObject = NULL,
  undoTimeScaling = FALSE,
  digits = 4,
  cintCov = NULL,
  mmCov = NULL,
  drift = NULL
)

Arguments

ctmaFitObject	fit object created with ctmaInit or ctmaFit (or with ctStanFit)
undoTimeScaling	if FALSE (default), results will correspond to the $randomIntercepts part of the summary of the equivalent model with indVarying="CINT"
digits	digits used for rounding
cintCov	Covariance matrix of continuous time intercepts and T0MEANS (default NULL). Requires drift matrix of same dimensions to be supplied, too.
mmCov	Covariance matrix of manifest means and T0MEANS (default NULL). Requires drift matrix of same dimensions to be supplied, too.
drift	matrix of drift parameters (default NULL). When drift together with cintCov or mmCov is supplied, any ctmaFitObject supplied is ignored.

Value

returns covariance of CINT-based random intercepts.

Examples

## Not run: 
RI_cov <- ctmaMMtoCINT(ctmaFitObject=CoTiMAFullFit_3)
print(RI_cov)

## End(Not run)

CoTiMA documentation built on July 20, 2026, 5:08 p.m.