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: frames
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function processMathHTML() {
R: frame
frameR Documentation
frame
and classicial
deshrinking are supported.
Usage
of Washington.
Usage
data("WA")
of Washington.
Usage
data("WA")
R: Frame operations
frameR Documentation
Frame operations
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: Frame operations
frameR Documentation
Frame operations
R: Split a video into separate frames
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
R: Constructor for a 'Frames' object
FramesR Documentation
Constructor for a Frames object
R: Constructor for a 'Frames' object
FramesR Documentation
Constructor for a Frames object
R: Split a video into separate frames
framesR Documentation
Split a video into separate frames
R: Brader, Valentino and Suhay (2008) Framing Experiment Data
framingR Documentation
Brader, Valentino and Suhay
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