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,
...
)An object of class lgpfit.
The reduce argument for relevances.
Threshold for relevance sum. Must be a value between 0 and 1.
Additional arguments to relevances.
A threshold density over interval [0,1].
A discretization parameter for computing a quadrature.
Should this show a progress bar?
See description.