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: M2 dataset
M2R Documentation
M2 dataset
R: Compute the M2 model fit statistic
M2R Documentation
Compute the M2 model fit statistic
R: Compute the M2 model fit statistic
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
R: Periodogram (PER)
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
R: Constructs a Per object.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML
of Washington.
Usage
data("WA")
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
Package: turtleviewer
Title: WA Turtle Data Viewer
Version: 0.2.0.20200102
Transform (FFT).
Usage
per(z)
}); }
return;
PERR Documentation
in a binned distribution
Description
Calculates the value for the ith point in a binned distribution
estimand
Description
PER returns the two-sided p-value testing
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