Have not found anyone encountering this problem and was wondering if anyone would have any idea. The run was set for 500,000,000 chains but was met with the following error after 387,000,000 runs
38700000 -22416.1112 -21760.9963 -655.1149 6m45s/Msamples
org.apache.commons.math.MathRuntimeException$4: standard deviation must be positive (0)
at org.apache.commons.math.MathRuntimeException.createIllegalArgumentException(Unknown Source)
at org.apache.commons.math.distribution.NormalDistributionImpl.setStandardDeviationInternal(Unknown Source)
at org.apache.commons.math.distribution.NormalDistributionImpl.setStandardDeviation(Unknown Source)
at beast.base.inference.distribution.LogNormalDistributionModel$LogNormalImpl.setMeanAndStdDev(Unknown Source)
at beast.base.inference.distribution.LogNormalDistributionModel.refresh(Unknown Source)
at beast.base.inference.distribution.LogNormalDistributionModel.getDistribution(Unknown Source)
at beast.base.inference.distribution.ParametricDistribution.logDensity(Unknown Source)
at beast.base.inference.distribution.ParametricDistribution.calcLogP(Unknown Source)
at beast.base.inference.distribution.Prior.calculateLogP(Unknown Source)
at beast.base.inference.CompoundDistribution.calculateLogP(Unknown Source)
at beast.base.inference.CompoundDistribution.calculateLogP(Unknown Source)
at beast.base.inference.MCMC.propagateState(Unknown Source)
at beast.base.inference.MCMC.doLoop(Unknown Source)
at beast.base.inference.MCMC.run(Unknown Source)
at beastfx.app.beast.BeastMCMC.run(Unknown Source)
at beastfx.app.beast.BeastMain.main(Unknown Source)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.base/java.lang.reflect.Method.invoke(Unknown Source)
at beast.pkgmgmt.launcher.BeastLauncher.run(Unknown Source)
at beast.pkgmgmt.launcher.BeastLauncher.main(Unknown Source)