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
R: Slide
SlideR Documentation
Slide
(), slide_index(), hop()
Examples
# The defaults work similarly to `map()`
R: Slide
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
slide(
orig,
forecFun,
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
transform". Communications in Statistics - Theory and Methods, 41(9): 1543-1556. DOI
Examples
X=stats::rgamma(20,3,6)
(or frame)
as a colored rectangle.
Usage
size 2 and window size 3
slide(1, 10, step = 2, before = 1, after = 1)
R: Slide output for the chapter
slidesR Documentation
Slide output for the chapter
of a CCA solution
Description
Extracts the weighted averages of a CCA solution
slide (or frame)
as a colored rectangle.
Usage
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.