This function takes a phylogenetic tree and data for a single continuously valued character and uses a Bayesian MCMC approach to identify the phylogenetic location of a shift in the evolutionary rate through time.
evol.rate.mcmc(tree, x, ngen=10000, control=list(), ...)
# S3 method for evol.rate.mcmc
print(x, ...)
# S3 method for evol.rate.mcmc
summary(object, ...)
# S3 method for summary.evol.rate.mcmc
print(x, ...)
# S3 method for summary.evol.rate.mcmc
plot(x, ...)
an object of class "phylo"
(a phylogenetic tree).
a vector of tip values for species in which names(x)
contains the species names of tree
, an object of class "evol.rate.mcmc"
, or (in the case of the S3 summary
method) an object of class "summary.evol.rate.mcmc"
.
an integer value indicating the number of generations for the MCMC.
a list of control parameters containing the following elements: sig1
: starting value for \(\sigma_1^2\); sig2
: starting value for \(\sigma_2^2\); a
: starting value for a; sd1
: standard deviation for the normal proposal distribution for \(\sigma_1^2\); sd2
: standard deviation for the normal proposal distribution for \(\sigma_2^2\); kloc
: scaling parameter for tree move proposals - \(1/\lambda\) for the reflected exponential distribution; sdlnr
: standard deviation on the log-normal prior on \(\sigma_1^2/\sigma_2^2\); rand.shift
: probability of proposing a random shift in the tree (improves mixing); print
: print frequency for the MCMC; sample
: sample frequency.
for the S3 summary
method, an object of class "evol.rate.mcmc"
.
other optional arguments.
An object of class "evol.rate.mcmc"
consisting of at least the following elements:
results from the MCMC run.
list of stips in rate \(\sigma_1^2\) for each sampled generation of MCMC (to polarize the rate shift).
Default values of control
are given in Revell et al. (2012).
Revell, L. J. (2012) phytools: An R package for phylogenetic comparative biology (and other things). Methods Ecol. Evol., 3, 217-223.
Revell, L. J., D. L. Mahler, P. Peres-Neto, and B. D. Redelings. (2012) A new method for identifying exceptional phenotypic diversification. Evolution, 66, 135-146.
anc.Bayes
, brownie.lite
, evol.vcv
, minSplit
, posterior.evolrate