distinctShiftConfigurations: Identify distinct rate shift configurations

Description

Identify topologically distinct rate shift configurations that were sampled with BAMM, and assign each sample in the posterior to one of the distinct shift configurations.

Usage

distinctShiftConfigurations(ephy, expectedNumberOfShifts, threshold, ...)

Arguments

ephy

an object of class bammdata.

expectedNumberOfShifts

The expected number of rate shifts under the prior

threshold

Threshold value for marginal posterior-to-prior odds ratios, used to identify branches with elevated shift probabilities relative to prior (core vs non-core shifts)

...

Other arguments to distinctShiftConfigurations (possibly deprecated args)

Value

an object of class bammshifts. This is a list with the following components
marg.probsA list of the marginal probability of a shift occurring at each node of the phylogeny for each distinct rate shift configuration.
marginal_odd_ratioMarginal posterior-to-prior odds ratios for one or more rate shifts an a given branch
shiftsA list of the set of shift nodes for each distinct rate configuration.
samplesetsA list of sample indices that reduce to each of the unique shift sets.
frequencyA vector of frequencies of each distinct shift configuration .
coreshiftsA vector of node numbers corresponding to the core shifts. All of these nodes have a marginal odds ratio of at least threshold supporting a rate shift.
thresholdA single numeric value giving the marginal posterior:prior odds ratio threshold used during enumeration of distinct shift configurations
Results are sorted by frequency: $frequency[1] gives the most common shift configuration sampled. $shifts[[1]] gives the corresponding node indices for that configuration. $samplesets[[1]] gives the indices of samples with this configuration.

Details

See Rabosky et al (2014) and the BAMM project website for details on the nature of distinct shift configurations and especially the distinction between "core" and "non-core" rate shifts. Note that branches with elevated marginal posterior probabilities relative to the prior (marginal odds ratios) cannot be claimed to have "significant" evidence for a rate shift on the basis of this evidence alone.

Examples

Run this code

data(whales, events.whales)
ed <- getEventData(whales, events.whales, burnin=0.25, nsamples=500)

sc <- distinctShiftConfigurations(ed, expectedNumberOfShifts = 1, threshold = 5)

plot.bammshifts(sc, ed, rank=1)