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: Relative Numeric Representation
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
R: Relative sizing for theme elements
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: Make a rel class object
relR Documentation
Make a rel class object
R: Relative Landmarking Meta-features
relativeR Documentation
Relative Landmarking Meta-features
R: Relative Numeric Representation
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
of Washington.
Usage
data("WA")
and classicial
deshrinking are supported.
Usage
of Washington.
Usage
data("WA")
R: Relative sizing for theme elements
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
R: Relative Landmarking Meta-features
relativeR Documentation
Relative Landmarking Meta-features
R: Relative abundance calculation
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
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
Package: rel
Version: 1.4.2
Title: Reliability Coefficients
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