summary.abc {abc} | R Documentation |
Calculates simple summaries of posterior samples: the minimum and maximum, the weighted mean, median, mode, and credible intervals.
## S3 method for class 'abc' summary(object, unadj = FALSE, intvl = .95, print = TRUE, digits = max(3, getOption("digits")-3), ...)
object |
an object of class |
unadj |
logical, if TRUE it forces to plot the unadjusted values when |
intvl |
size of the symmetric credible interval. |
print |
logical, if |
digits |
the digits to be rounded to. Can be a vector of the same length as the number of parameters, when each parameter is rounded to its corresponding digits. |
... |
other arguments passed to |
If method is "rejection"
in the original call to
abc
, posterior means, medians, modes and percentiles
defined by intvl
, 95 by default (credible intervals) are
calculated. If a regression correction was used (i.e. method is
"loclinear"
or "neuralnet"
in the original call to
abc
) the weighted posterior means, medians, modes and
percentiles are calculated.
To calculate the mode, parameters are passed on from
density.default
. Note that the posterior mode can be
rather different depending on the parameters to estimate the
density.
The returned value is an object of class "table"
. The rows are,
Min. |
minimun |
Lower perc. |
lower percentile |
Median |
or weighted median |
Mean |
or weighted mean |
Mode |
or weighted mode |
Upper perc. |
upper percentile |
Max. |
maximum |
## see ?abc for examples