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methods.csv
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analysisIdentifier,SpeciesTreePopSize.Species
analysisIdentifier,popModelAIM.Species
analysisIdentifier,popModelBridge.Species
auxTreePrior,beast.base.evolution.tree.MRCAPrior
auxTreePrior,beast.math.distributions.MultiMonophyleticConstraint
auxTreePrior,beast.base.evolution.tree.MRCAPriorWithRogues
auxTreePrior,beast.math.distributions.MultiMRCAPriors
#beast.base.evolution.tree.MRCAPrior,"Clade ",taxonset," is ",distr
# CladAage
beast.math.distributions.FossilPrior,"Clade ",taxonset," has fossil prior",cite(10.1093/sysbio/syw076)," ",fossilDistr
beast.math.distributions.FossilCalibration," with occurrance age (min=",minOccuranceAge,", max=",maxOccuranceAge,"), divergence rate (min=",minDivRate,", max=",maxDivRate,"), turnover rate (min=",minTurnoverRate,", max=",maxTurnoverRate,"), sampling rate (min=",minSamplingRate,", max=",maxSamplingRate,"), and sample gap (min=",minSamplingGap,", max=",maxSamplingGap,")"
auxTreePrior,beast.math.distributions.FossilPrior
# StarBeast2
popModelBridge.Species,"This is a multi-species coalescent (StarBeast2",cite(10.1093/molbev/msx126),") analysis with population model ",childModel
starbeast2.StarBeastClock," species tree clock model with clock rate ",clock.rate," and ",branchRatesModel.Species
starbeast2.GeneTree,id," has ploidy ",ploidy
auxTreePrior,starbeast2.GeneTree
auxTreePrior,starbeast2.GeneTreeWithMigration
popModelAIM.Species,"This is a mutli-species coalescent with migration analysis",cite(10.1093/molbev/msx307)," with population sizes ",Ne,", mean population ",NeMean,", ",m,", migration model ",migrationModel,", and rate is forward is ",rateIsForward
migIndicatorSumPrior.Species,"sum of migration indicators ",distr
migRatesPrior.Species,"rates of migration ",distr
starbeast2.AllEqual," all equal rates "
starbeast2.GeneTreeWithMigration
# sampled ancestors
beast.evolution.speciation.SABirthDeathModel," using a fossilised birth death model",cite(10.1371/journal.pcbi.1003919),", with diversification rate ",diversificationRate,", turnover rate ",turnover,", sampling proportion",samplingProportion,", and removal probability ",removalProbability,". Condition on rho sampling is ",conditionOnRhoSampling,", rho ",rho,", and origina ",origin
# bdmm?
beast.evolution.speciation.BirthDeathSkylineModel,"birth-death skyline model",cite(10.1371/journal.pcbi.1003919)," with with origin ",origin,", reproductive number ",reproductiveNumber,", rho ",rho,", and sampling proportion ",samplingProportion
beast.base.evolution.alignment.TaxonSet,id
# MASCOT
beast.mascot.distribution.Mascot,"structured coalescent approximated through MASCOT",cite(10.1093/molbev/msx186)," with ","dynamics"
beast.mascot.dynamics.Constant," constant population using population size ",Ne," and backward migration rates ",backwardsMigration
# starting tree
"RandomTree.t:$(n)","random starting tree"
"ClusterTree.t:$(n)","cluster starting tree","clusterType"
"NewickTree.t:$(n)","Newick starting tree"
"StrictClock.c:$(n)","strict clock"," with clock rate @clock.rate","clock.rate"
"ExponentialRelaxedClock.c:$(n)","uncorrelated exponential relaxed clock","cite(ExponentialRelaxedClock.c:$(n))"," with clock rate @clock.rate","clock.rate"
"RelaxedClock.c:$(n)","uncorrelated log-normal relaxed clock","cite(RelaxedClock.c:$(n))"," with clock rate @clock.rate","clock.rate"," and standard deviation ","ucldStdev.c:$(n)"
"RandomLocalClock.c:$(n)","random local clock","cite(RandomLocalClock.c:$(n))"," with clock rate @clock.rate","clock.rate"
"JC69.s:$(n)","Jukes Cantor"," substitution model"
"hky.s:$(n)","HKY"," substitution model","cite(hky.s:$(n))"," with kappa @kappa","kappa.s:$(n)"," and ","frequencies"
"tn93.s:$(n)","TN93"," substitution model","cite(10.1093/oxfordjournals.molbev.a040023)"," with kappa1 @kappa1","kappa1.s:$(n)",", kappa2 @kappa2","kappa2.s:$(n)"," and ","frequencies"
"gtr.s:$(n)","GTR"," substitution model",cite(10.1007/BF02101990)," with rateAC @rateAC","rateAC.s:$(n)",", rateAG @rateAG","rateAG.s:$(n)",", rateAT @rateAT","rateAT.s:$(n)",", rateCG @rateCG","rateCG.s:$(n)",", rateCT @rateCT","rateCT.s:$(n)",", rateGT @rateGT","rateGT.s:$(n)"," and ","frequencies"
"Blosum62.s:$(n)","Blosum62","cite(Blosum62.s:$(n))"
"Dayhoff.s:$(n)","Dayhoff","cite(Dayhoff.s:$(n))"
"JTT.s:$(n)","JTT","cite(JTT.s:$(n))"
"CPREV.s:$(n)","CPREV","cite(CPREV.s:$(n))"
"MTREV.s:$(n)","MTREV","cite(MTREV.s:$(n))"
"WAG.s:$(n)","WAG","cite(WAG.s:$(n))"
"MutationDeathModel.s:$(n)","stochastic Dollo"," model","cite(MutationDeathModel.s:$(n))"
"estimatedFreqs.s:$(n)","estimated"," frequencies"
"empiricalFreqs.s:$(n)","empirical"," frequencies"
"equalFreqs.s:$(n)","equal"," frequencies"
"YuleModel.t:$(n)","Yule model"," with birth rate @birthDiffRate","birthDiffRate"
"CalibratedYuleModel.t:$(n)","Calibrated Yule model",cite(CalibratedYuleModel.t:$(n))," with birth rate @birthRate","birthRate"
"BirthDeath.t:$(n)","birth death model",cite(BirthDeath.t:$(n))," with ","type"," tree type, birth rate ","birthDiffRate",", death rate ","relativeDeathRate"," and sample probability ","sampleProbability"
"BirthDeathModel.t:$(n)","birth death model",cite(BirthDeathModel.t:$(n))," with ","type"," tree type, birth rate ","birthDiffRate",", death rate ","relativeDeathRate"," and sample probability ","sampleProbability"
"CoalescentConstant.t:$(n)","constant coalescent"," tree prior with population size ","popSize.t:$(n)"
"CoalescentExponential.t:$(n)","exponential coalescent"," tree prior with population size ","ePopSize.t:$(n)"," and growth rate ","growthRate.t:$(n)"
"BayesianSkyline.t:$(n)","Bayesian skyline",cite(BayesianSkyline.t:$(n))," tree prior with population size ","bPopSizes.t:$(n)"
"ExtendedBayesianSkyline.t:$(n)","extended Bayesian skyline"," tree prior with population size ","popSizes.alltrees"," and population mean ","populationMean.alltrees"
#"Tree.t:Species","SpeciesTreePopSize.Species"
"SpeciesTreePopSize.Species","This is a multi-species coalescent (*BEAST",cite(10.1093/molbev/msp274),") analysis with a ","popFunction"," population function and gamma ","gammaParameter"
"beast.base.inference.distribution.Uniform","uniformly"," distributed ","(lower=","lower"," and upper=","upper",")"
"beast.base.inference.distribution.Normal","normally"," distributed ","(mean=","mean"," and sigma=","sigma",")"
"beast.base.inference.distribution.OneOnX","1/X"," distributed"
"beast.base.inference.distribution.LogNormalDistributionModel","log-normally"," distributed ","(mean-log=","M"," and stdev-log=","S",")"
"beast.base.inference.distribution.Exponential","exponentially"," distributed ","(mean=","mean",")"
"beast.base.inference.distribution.Gamma","gamma"," distributed ","(alpha=","alpha"," and beta=","beta",")"
"beast.math.distributions.Beta","beta"," distributed ","(alpha=","alpha"," and beta=","beta",")"
"beast.base.inference.distribution.LaplaceDistribution","Laplace"," distributed ","(mu=","mu"," and scale=","scale",")"
"beast.base.inference.distribution.InverseGamma","inverse Gamma"," distributed ","(alpha=","alpha"," and beta=","beta",")"
"beast.base.inference.distribution.Poisson","Poisson"," distributed ","(lambda=","lambda",")"