summariseModelString: summariseModelString

In hferg/btrtools:

Description

Standardises the model string output from an RJ analysis, and returns a list of two dataframes. One of these gives the frequency of each unique model and the parameter composition of it, and the other details the proportion of times each pair of parameters are locked to the same value. This currently doesn't care whether the parameters are fixed to be the same, or whether they are both zero - just that they are both the same.

Usage

summariseModelString(logfile, thinning = 1, burnin = 0)

Arguments

logfile	The name of the logfile resulting from an RJ BayesTraits model.
thinning	Thinning parameter for the posterior - defaults to 1 (all samples). 2 uses every second sample, 3 every third and so on.
burnin	The number of generations to remove from the start of the chain as burnin.

hferg/btrtools documentation built on May 17, 2019, 3:56 p.m.