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
... a demonstration version
Usage
RAB(formula, data, maxiter=200, maxdepth=1)
estimators.
Usage
RAB(x, percent = FALSE, unname = FALSE)
... a demonstration version
Usage
RAB(formula, data, maxiter=200, maxdepth=1)
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
R: Slide
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: Slide
SlideR Documentation
Slide
R: slide
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: Slide
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
of Washington.
Usage
data("WA")
R: Slides template
slidesR Documentation
Slides template
R: The slide function
slideR Documentation
The slide function
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: Generate sliding window intervals
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
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