A function for summarizing the state of a model after a shift
shiftSummaries(chain, mcmc, pp.cutoff = 0.3, branches = NULL)A list with elements:
pars = a bayoupars list giving the location of shifts specified;
tree = The tree;
pred = Predictor variable matrix;
dat = A vector of the data;
SE = A vector of standard errors;
PP = Posterior probabilities of the specified shifts;
model = A list specifying the model used;
variables = The variables summarized;
cladesummaries = A list providing the medians and densities of the distributions of regression
variables for each shift;
descendents = A list providing the taxa that belong to each regime
regressions = A matrix providing the regression coefficients for each regime.
A bayouMCMC chain
A bayou mcmc object
The threshold posterior probability for shifts to summarize, if 'branches' specified than this is ignored.
The specific branches with shifts to summarize, assuming postordered tree
shiftSummaries summarizes the immediate parameter values after a shift on a particular branch. Parameters are summarized only for the duration that the particular shift exists. Thus, even global parameters will be different for particular shifts.