WA: Weighted averaging (WA) regression and calibration
R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: Weighted averaging (WA) regression and calibration
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
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")
R: Order
OrderR Documentation
Order
and classicial
deshrinking are supported.
Usage
of Washington.
Usage
data("WA")
at testing.
monotonicity() is an alias for ordering.
Value
increasing
1 : increasing / montonically increasing / non-decreasing
0 : non-ordered or constant
R: Order
OrderR Documentation
Order
R: Order
OrderR Documentation
Order
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
will be labelled as "1", and the rest are labelled by distance to "1" from closer to farest.
Usage
ordering(data)
transform". Communications in Statistics - Theory and Methods, 41(9): 1543-1556. DOI
Examples
X=stats::rgamma(20,3,6)
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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