Great! Thanks for the help, and I think that worked. Unfortunately, I seem to be running into a different error:
Start likelihood: -Infinity after 11 initialisation attempts
P(posterior) = -Infinity (was NaN)
P(speciescoalescent) = -Infinity (was NaN)
P(SpeciesTreePopSize.Species) = -199.2538977075783 (was NaN)
P(treePrior.t:ETS) = -Infinity (was NaN)
P(treePrior.t:ITS) = NaN (was NaN)
P(treePrior.t:PPR127) = NaN (was NaN)
P(treePrior.t:psbJ) = NaN (was NaN)
P(treePrior.t:rpl16) = NaN (was NaN)
P(treePrior.t:trnQ) = NaN (was NaN)
P(prior) = NaN (was NaN)
P(ExtendedBayesianSkyline.t:Species) = -0.16662957391639566 (was NaN)
P(GammaShapePrior.s:ETS) = -1.0 (was NaN)
P(GammaShapePrior.s:ITS) = -1.0 (was NaN)
P(GammaShapePrior.s:PPR127) = -1.0 (was NaN)
P(GammaShapePrior.s:psbJ) = -1.0 (was NaN)
P(GammaShapePrior.s:rpl16) = -1.0 (was NaN)
P(GammaShapePrior.s:trnQ) = -1.0 (was NaN)
P(indicatorsPrior.alltrees) = -0.69314718056 (was NaN)
P(HyperPrior.hyperExponential-mean-MeanRatePrior.c:ITS) = -2.302585092994046 (was NaN)
P(HyperPrior.hyperExponential-mean-MeanRatePrior.c:PPR127) = -2.302585092994046 (was NaN)
P(HyperPrior.hyperExponential-mean-MeanRatePrior.c:psbJ) = -2.302585092994046 (was NaN)
P(HyperPrior.hyperExponential-mean-MeanRatePrior.c:rpl16) = -2.302585092994046 (was NaN)
P(HyperPrior.hyperExponential-mean-MeanRatePrior.c:trnQ) = -2.302585092994046 (was NaN)
P(popMean.prior) = 0.0 (was NaN)
P(popSizePrior.alltrees) = -42.0 (was NaN)
P(populationMeanPrior.alltrees) = 0.0 (was NaN)
P(RateACPrior.s:ETS) = -3.184008455701433 (was NaN)
P(RateACPrior.s:ITS) = -3.184008455701433 (was NaN)
P(RateACPrior.s:PPR127) = -3.184008455701433 (was NaN)
P(RateACPrior.s:psbJ) = -3.184008455701433 (was NaN)
P(RateACPrior.s:rpl16) = -3.184008455701433 (was NaN)
P(RateACPrior.s:trnQ) = -3.184008455701433 (was NaN)
P(RateAGPrior.s:ETS) = -3.1686658147294304 (was NaN)
P(RateAGPrior.s:ITS) = -3.1686658147294304 (was NaN)
P(RateAGPrior.s:PPR127) = -3.1686658147294304 (was NaN)
P(RateAGPrior.s:psbJ) = -3.1686658147294304 (was NaN)
P(RateAGPrior.s:rpl16) = -3.1686658147294304 (was NaN)
P(RateAGPrior.s:trnQ) = -3.1686658147294304 (was NaN)
P(RateATPrior.s:ETS) = -3.184008455701433 (was NaN)
P(RateATPrior.s:ITS) = -3.184008455701433 (was NaN)
P(RateATPrior.s:PPR127) = -3.184008455701433 (was NaN)
P(RateATPrior.s:psbJ) = -3.184008455701433 (was NaN)
P(RateATPrior.s:rpl16) = -3.184008455701433 (was NaN)
P(RateATPrior.s:trnQ) = -3.184008455701433 (was NaN)
P(RateCGPrior.s:ETS) = -3.184008455701433 (was NaN)
P(RateCGPrior.s:ITS) = -3.184008455701433 (was NaN)
P(RateCGPrior.s:PPR127) = -3.184008455701433 (was NaN)
P(RateCGPrior.s:psbJ) = -3.184008455701433 (was NaN)
P(RateCGPrior.s:rpl16) = -3.184008455701433 (was NaN)
P(RateCGPrior.s:trnQ) = -3.184008455701433 (was NaN)
P(RateGTPrior.s:ETS) = -3.184008455701433 (was NaN)
P(RateGTPrior.s:ITS) = -3.184008455701433 (was NaN)
P(RateGTPrior.s:PPR127) = -3.184008455701433 (was NaN)
P(RateGTPrior.s:psbJ) = -3.184008455701433 (was NaN)
P(RateGTPrior.s:rpl16) = -3.184008455701433 (was NaN)
P(RateGTPrior.s:trnQ) = -3.184008455701433 (was NaN)
P(MeanRatePrior.c:ITS) = -2.402585092994046 (was NaN)
P(MeanRatePrior.c:PPR127) = -2.402585092994046 (was NaN)
P(MeanRatePrior.c:psbJ) = -2.402585092994046 (was NaN)
P(MeanRatePrior.c:rpl16) = -2.402585092994046 (was NaN)
P(MeanRatePrior.c:trnQ) = -2.402585092994046 (was NaN)
P(ucldStdevPrior.c:ETS) = -0.40143772133305716 (was NaN)
P(ucldStdevPrior.c:ITS) = -0.40143772133305716 (was NaN)
P(ucldStdevPrior.c:PPR127) = -0.40143772133305716 (was NaN)
P(ucldStdevPrior.c:psbJ) = -0.40143772133305716 (was NaN)
P(ucldStdevPrior.c:rpl16) = -0.40143772133305716 (was NaN)
P(ucldStdevPrior.c:trnQ) = -0.40143772133305716 (was NaN)
P(likelihood) = NaN (was NaN)
P(treeLikelihood.ETS) = NaN (was NaN)
P(treeLikelihood.ITS) = NaN (was NaN)
P(treeLikelihood.ITSgaps) = NaN (was NaN)
P(treeLikelihood.PPR127) = NaN (was NaN)
P(treeLikelihood.psbJ) = NaN (was NaN)
P(treeLikelihood.psbJgaps) = NaN (was NaN)
P(treeLikelihood.rpL16gaps) = NaN (was NaN)
P(treeLikelihood.rpl16) = NaN (was NaN)
P(treeLikelihood.trnQ) = NaN (was NaN)
P(treeLikelihood.trnQgaps) = NaN (was NaN)
java.lang.Exception: Could not find a proper state to initialise. Perhaps try another seed.
at beast.core.MCMC.run(Unknown Source)
at beast.app.BeastMCMC.run(Unknown Source)
at beast.app.beastapp.BeastMain.<init>(Unknown Source)
at beast.app.beastapp.BeastMain.main(Unknown Source)