View source: R/posterior_intervals.R
posterior_interval | R Documentation |
The posterior_interval
function computes Bayesian posterior uncertainty
intervals. These intervals are often referred to as credible
intervals, for more details see rstanarm.
posterior_interval(mat, prob = 0.9, ...)
mat |
a matrix containing the posterior samples of a fitted parameter. |
prob |
A number |
... |
Further arguments passed to |
A matrix with two columns and as many rows as model parameters (or
the subset of parameters specified by pars
and/or
regex_pars
). For a given value of prob
, p
, the columns
correspond to the lower and upper 100*p%
interval limits and have the
names 100\alpha/2
and 100(1 - \alpha/2)
%
, where \alpha
= 1-p
. For example, if prob=0.9
is specified (a 90%
interval), then the column names will be "5%"
and "95%"
,
respectively.
Asael Alonzo Matamoros
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