select
performs strict selection, returning either TRUE
or FALSE
for each component.
select.integrate
is like select
, but instead of
a fixed threshold, computes probabilistic selection by integrating over
a threshold density.
select_freq
performs the selection separately using
each parameter draw and returns the frequency at which each
component was selected.
select_freq.integrate
is like select_freq
, but
instead of a fixed threshold, computes probabilistic selection
frequencies by integrating over a threshold density.
select(fit, reduce = function(x) base::mean(x), threshold = 0.95, ...) select_freq(fit, threshold = 0.95, ...) select.integrate( fit, reduce = function(x) base::mean(x), p = function(x) stats::dbeta(x, 100, 5), h = 0.01, verbose = TRUE, ... ) select_freq.integrate( fit, p = function(x) stats::dbeta(x, 100, 5), h = 0.01, verbose = TRUE, ... )
fit | An object of class |
---|---|
reduce | The |
threshold | Threshold for relevance sum. Must be a value between 0 and 1. |
... | Additional arguments to |
p | A threshold density over interval [0,1]. |
h | A discretization parameter for computing a quadrature. |
verbose | Should this show a progress bar? |
See description.