Table 2.

Model Fit Estimates under Different Dispersed and Aggregated Calibrations.

Clock Model	ln MLE
	Dispersed		Aggregated
	I	II	I	II
TDRuni	−33,643	−33,667	NAa	−33,635
TDRexp	−33,629	−33,638	−33,636	−33,637
Strict	−34,691	−33,933	−33,648	−33,933
UCLD	−33,655	−33,658	−33,635	−33,636
RLC	−33,655	−33,655	−33,649	−33,636

Note.—The exponential epoch model (TDR_exp) outperforms the other clock models for the dispersed calibrations in terms of the log marginal likelihood (ln MLE) estimates, while differences are generally less conclusive for the aggregated calibrations.

^aNo estimate is available for the uniform epoch model because all shallow calibrating nodes fall under a single epoch.