sieve_default | R Documentation |
Test Criteria for Model Selection
sieve_default
A list containing the parameters used for test criteria in model
selection an ddArray
objects. The sieve_default
values are used as
a default in modelFilter
. If desired, users may create their
own tests, using sieve_default
as a template. The same list elements
must all be present and have the same structure as the defaults, namely:
$aic
the cutoff for DeltaAIC scores; models with higher scores
are removed from further consideration. Default is $aic = 10
$hin
a boolean to indicate whether or not to use high leverage
points as a criterion for model selection. Default is $hin = TRUE
$rtail
a vector of probabilities that the fitted model must
exceed at 80, 120, 150, and 200 meters. Default is
rtail = c(p80 = 0.50, p120 = 0.90, p150 = 0.95, p200 = 0.99)
.
Custom test parameters must be a vector probabilities with "p80", "p120",
"p150", and "p200" in the names.
ltail
a vector of probabilities that a fitted model must
not exceed at 20 and 50 meters. Default is
ltail = c(p20 = 0.50, p50 = 0.90)
. Custom test parameters must be
a vector of probabilities with "p20" and "p50" in names
.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.