WA: Weighted averaging (WA) regression and calibration
and model complexity (simple or tolerance downweighted WA) can be estimated by cross-validation using crossval which
and model complexity (simple or tolerance downweighted WA) can be estimated by cross-validation using crossval which
and model complexity (simple or tolerance downweighted WA) can be estimated by cross-validation using crossval which
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
of Washington.
Usage
data("WA")
of Washington.
Usage
data("WA")
and classicial
deshrinking are supported.
Usage
of Washington.
Usage
data("WA")
R: Order
OrderR Documentation
Order
R: Order
OrderR Documentation
Order
R: Order
OrderR Documentation
Order
R: Ordering
orderingR Documentation
Ordering
R: ordering
orderingR Documentation
ordering
R: Ordering
orderingR Documentation
Ordering
R: ordering
orderingR Documentation
ordering
R: Orders
ordersR Documentation
Orders
solution
Description
Extracts the weighted averages of a CCA solution
Also
Other simple queries:
adjacent_vertices(),
, i.e. a bootstrap procedure is implemented to perform the test, see crit.values.
Usage
WA(data, k_estimator)
R: wrapper for order to allow multivariate ordering
OrderR Documentation
wrapper for order to allow multivariate
R: wrapper for order to allow multivariate ordering
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
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