ctmaEqual: ctmaEqual

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

ctmaEqual

Description

test if the two or more invariant drift parameters in the CoTiMAFit object supplied are equal. The supplied CoTiMA fit-object (ctmaInvariantFit) has to be a model fitted with ctmaFit where at least two parameters were set invariant across primary studies (e.g., 2 cross effects). All parameters that are set invariant in the supplied model are then constrained to be equal by ctmaEqual (no user action required), the model is fitted, and a log-liklihood ratio test is performed informing about the probability that equality applies.

Usage

ctmaEqual(
  ctmaInvariantFit = NULL,
  activeDirectory = NULL,
  activateRPB = FALSE,
  digits = 4,
  coresToUse = 1
)

Arguments

ctmaInvariantFit	object to which a CoTiMA fit has been assigned to (i.e., what has been returned by ctmaFit). In most cases probably a model in which (only) two effects were specified with invariantDrift.
activeDirectory	defines another active directory than the one used in ctmaInvariantFit
activateRPB	set to TRUE to receive push messages with CoTiMA notifications on your phone
digits	Number of digits used for rounding (in outputs)
coresToUse	If neg., the value is subtracted from available cores, else value = cores to use

Value

returns a model where two or more parameteres were set equal across primary studies and a log-liklihood difference test informing about the probablity that the equality assumption is correct.

Examples

# Fit a CoTiMA with a set of parameters set equal that were set
# invariant in a previous model (of which the fit object is
# supplied in argument ctmaInvariantFit)
## Not run: 
CoTiMAFullInv23Fit_6$activeDirectory <- "/Users/tmp/" # adapt!
CoTiMAFullInvEq23Fit_6 <- ctmaEqual(ctmaInvariantFit=CoTiMAFullInv23Fit_6)

## End(Not run)

CoTiMA documentation built on Nov. 10, 2022, 5:16 p.m.