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")
solution
Description
Extracts the weighted averages of a CCA solution
of Washington.
Usage
data("WA")
, i.e. a bootstrap procedure is implemented to perform the test, see crit.values.
Usage
WA(data, k_estimator)
R: simpl
simplR Documentation
simpl
of a CCA solution
Description
Extracts the weighted averages of a CCA solution
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: Simple Function
simpleR Documentation
Simple Function
R: The simple logger
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: Simple Event Table
simpleR Documentation
Simple Event Table
R: Simple Data Objects
simpleR Documentation
Simple Data Objects
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
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.