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
R: Run Lua code
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
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.
R: Musical Meter in humdrumR
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: Musical Meter in humdrumR
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
... a demonstration version
Usage
RAB(formula, data, maxiter=200, maxdepth=1)
estimators.
Usage
RAB(x, percent = FALSE, unname = FALSE)
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
... a demonstration version
Usage
RAB(formula, data, maxiter=200, maxdepth=1)
of Washington.
Usage
data("WA")
of Washington.
Usage
data("WA")
of Washington.
Usage
data("WA")
R: Effects of temperature on decomposition rates according to...
fT.DemeterR
and classicial
deshrinking are supported.
Usage
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
Package: meteR
Type: Package
Title: Fitting and Plotting Tools for the Maximum Entropy Theory of
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