Hybrid Zone Analysis using R


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Documentation for package ‘hzar’ version 0.1-7

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hzar-package Hybrid Zone Analysis using R
clineMetaModel Make a cline model with the requested attributes.
hzar Hybrid Zone Analysis using R
hzar.AIC.default Calculate the AIC score.
hzar.AIC.hzar.cline Calculate the AIC score.
hzar.AIC.hzar.dataGroup Calculate the AIC score.
hzar.AIC.hzar.obsDataGroup Generate an AIC score table.
hzar.AICc.default Calculate the AIC score.
hzar.AICc.hzar.cline Calculate the AIC score.
hzar.AICc.hzar.dataGroup Calculate the AIC score.
hzar.AICc.hzar.obsDataGroup Generate an AIC score table.
hzar.chain.doSeq Repeatedly run the optimizer in series to tune the optimizer.
hzar.cline Make a 'hzar.cline' object.
hzar.copyModelLabels Copy names from one hzar object to another.
hzar.cov.mcmc Generate a covariance matrix for the cline optimizer.
hzar.cov.rect Generate a covariance matrix for the cline optimizer.
hzar.dataGroup Make a 'hzar.dataGroup' object with given parameters.
hzar.dataGroup.add Prepare optimizer output for analysis.
hzar.dataGroup.null Datagroup placeholder for the null model (frequency independent of location)
hzar.dBernoulli.LL Transformations of Scalar Data into Bernoulli Trials
hzar.doCLTData1DPops Generate a hzar.obsData object using summary data about each population.
hzar.doCLTData1DRaw Create a 'hzar.obsData' object using a table of individual traits.
hzar.doFit Run the optimizer.
hzar.doMolecularData1DPops Generate a hzar.obsData object using summary data about each population.
hzar.doMorphoSets Make hzar.obsData objects from scalar observations using reference tables
hzar.eval.clineLL Calculate the Log Likehoods of the table of parameters provided.
hzar.extract.obsData Extract the observation data used by the optimizer.
hzar.extract.old.model.gen Extract information about the clineMetaModel used.
hzar.extract.old.model.req Extract information about the clineMetaModel used.
hzar.first.fitRequest.old.ML Generate a ML based hzar.fitRequest using a meta model structure.
hzar.fit2DataGroup Prepare optimizer output for analysis.
hzar.fitRequest Generate a hzar.fitRequest with the specified attributes.
hzar.fzCline Create a 'hzar.fzCline' object
hzar.gen.cline Make a 'hzar.cline' object using the given parameters and model.
hzar.get.ML.cline Extract the maximum likelihood cline.
hzar.getCredCut Get the minimum log likelihood of sufficient credibility.
hzar.getCredParam Select a credible subset of a collection of parameters.
hzar.getCredParamRed Create a 95% credibility hzar.fzCline object
hzar.getLLCutParam Get the region of parameter space close to the maximum likelihood
hzar.make.cline Make a 'hzar.cline' object.
hzar.make.clineLLfunc.old.bayes Generate a Log Likelihood method for the cline model.
hzar.make.clineLLfunc.old.ML Generate a Log Likelihood method for the cline model.
hzar.make.dataGroup Make a 'hzar.dataGroup' object with given parameters.
hzar.make.fitRequest Generate a hzar.fitRequest with the specified attributes.
hzar.make.fzCline Create a 'hzar.fzCline' object
hzar.make.LLfunc.null Likelihood function for the null model
hzar.make.mcmcParam Set the parameters controling the optimizer environment.
hzar.make.obsDataGroup Collect optimizer output from multiple models for analysis.
hzar.makeCline1DCLT Make a cline model with the requested attributes.
hzar.makeCline1DFreq Make a cline model with the requested attributes.
hzar.makeTraitObsData Compile and transform raw scalar data
hzar.mcmc.bindLL Generate a mcmc object with sampled parameters and log likelihoods.
hzar.model.addBoxReq Add parameter restriction clauses to cline model
hzar.model.addCenterRange Add parameter restriction clauses to cline model
hzar.model.addMaxCenter Add parameter restriction clauses to cline model
hzar.model.addMaxDelta Add parameter restriction clauses to cline model
hzar.model.addMaxWidth Add parameter restriction clauses to cline model
hzar.model.addMinCenter Add parameter restriction clauses to cline model
hzar.next.fitRequest Generate a new fitRequest using data from another fitRequest.
hzar.obsData Generate a hzar.obsData object using summary data about each population.
hzar.obsDataGroup Collect optimizer output from multiple models for analysis.
hzar.overPlot.fzCline Plot a cline region for multiple models and / or loci.
hzar.plot.cline Generate a plot of the cline.
hzar.plot.fzCline Plot the 95% credible cline region for the given locus model.
hzar.plot.obsData Generate a plot of the observed data points.
hzar.qScores Calculate credibility intervals.
hzar.qScores.dataGroup Calculate credibility intervals.
hzar.qScores.obsDataGroup Calculate credibility intervals.
hzar.sameModel Do the hzar objects share the same model or data?
hzar.sameObsData Do the hzar objects share the same model or data?
hzar.yLabel Suggest a y axis label
manakinLocations Distance from population A for each population.
manakinMolecular Molecular data samples for multiple loci accross the Manakin Cline.
manakinMorphological Manakin observed Morphological Traits