WA: Weighted averaging (WA) regression and calibration
, full=FALSE, ...)
## S3 method for class 'WA'
plot(x, resid=FALSE, xval=FALSE, tolDW=FALSE, deshrink="inverse",
, full=FALSE, ...)
## S3 method for class 'WA'
plot(x, resid=FALSE, xval=FALSE, tolDW=FALSE, deshrink="inverse",
, full=FALSE, ...)
## S3 method for class 'WA'
plot(x, resid=FALSE, xval=FALSE, tolDW=FALSE, deshrink="inverse",
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
of Washington.
Usage
data("WA")
Package: support
Type: Package
Title: Support Points
and classicial
deshrinking are supported.
Usage
of Washington.
Usage
data("WA")
R: Full
fullR Documentation
Full
of Washington.
Usage
data("WA")
solution
Description
Extracts the weighted averages of a CCA solution
, i.e. a bootstrap procedure is implemented to perform the test, see crit.values.
Usage
WA(data, k_estimator)
R: Returns support of compactly supported wavelets.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: The support of the measures
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
of a CCA solution
Description
Extracts the weighted averages of a CCA solution
variables
Details
Knaus WA, Harrell FE, Lynn J et al. (1995): The SUPPORT prognostic model: Objective estimates
R: AWS Support
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: AWS Support
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: Support of Distributions
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: Title Full
FullR Documentation
Title Full
R: Full row
fullR Documentation
Full row
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