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
meter(list("1", "4", "8")).
However, meter() includes a number of helpful arguments that can be used to quickly streamline
R: Create 'Meter' Object
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: Generate the <meter> HTML tag.
meterR Documentation
Generate the <meter> HTML tag.
meter(list("1", "4", "8")).
However, meter() includes a number of helpful arguments that can be used to quickly streamline
of Washington.
Usage
data("WA")
of Washington.
Usage
data("WA")
of Washington.
Usage
data("WA")
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
Package: meteR
Type: Package
Title: Fitting and Plotting Tools for the Maximum Entropy Theory of
R: Boxes
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
. If add=TRUE the boxes are plotted in the current plot otherwise nothing is plotted.
Usage
boxes(x, xA = 1, yA = 2, zA
R: Box
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
and classicial
deshrinking are supported.
Usage
R: boxes
boxesR Documentation
boxes
R: Box
BoxR Documentation
Box
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)
of a CCA solution
Description
Extracts the weighted averages of a CCA solution
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