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")
and classicial
deshrinking are supported.
Usage
of Washington.
Usage
data("WA")
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)
of a CCA solution
Description
Extracts the weighted averages of a CCA solution
R: simpl
simplR Documentation
simpl
R: simpl
simplR Documentation
simpl
Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102
R: SIMPLS algorithm
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: The simple logger
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: Simple Function
simpleR Documentation
Simple Function
R: Simple Data Objects
simpleR Documentation
Simple Data Objects
R: Simple Event Table
simpleR Documentation
Simple Event Table
R: Simple Event Table
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: Saving simple seed classes
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
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