Several methods are defined for instances of the class
outbreaker_chains, returned by
# S3 method for outbreaker_chains print(x, n_row = 3, n_col = 8, ...) # S3 method for outbreaker_chains plot(x, y = "post", type = c("trace", "hist", "density", "alpha", "t_inf", "kappa", "network"), burnin = 0, min_support = 0.1, labels = NULL, ...) # S3 method for outbreaker_chains summary(object, burnin = 0, method = c("mpa", "decycle"), ...)
the number of rows to display in head and tail; defaults to 3.
the number of columns to display; defaults to 8.
further arguments to be passed to other methods
a character string indicating which element of an
a character string indicating the kind of plot to be used (see details)
the number of iterations to be discarded as burnin
a number between 0 and 1 indicating the minimum support of ancestries to be plotted; only used if 'type' is 'network'
a vector of length N indicating the case labels (must be provided in the same order used for dates of symptom onset)
the method used to determine consensus ancestries. 'mpa' (maximum posterior ancestry) simply returns the posterior ancestry with the highest posterior support for each case, even if this includes cycles. 'decycle' will return the maximum posterior ancestry, except when cycles are detected, in which case the link in the cycle with the lowest support is pruned and the tree recalculated.
type indicates the type of graphic to plot:
trace to visualise MCMC traces for parameters or augmented data (plots the
log-likelihood by default)
hist to plot histograms of quantitative values
density to plot kernel density estimations of quantitative values
alpha to visualise the posterior frequency of ancestries
network to visualise the transmission tree; note that
this opens up an interactive plot and requires a web browser with
most supported ancestries and avoid displaying too many links
kappa to visualise the distributions generations between cases and their
See introduction vignette for detailed examples on how to visualise