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: flatness: a package to assess the flatness of (rank)...
flatnessR Documentation
flatness: a package to assess
R: Flat sequences
flatR Documentation
Flat sequences
R: Flat sequences
flatR Documentation
Flat sequences
R: Serialize Objects to Flat Strings
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
R: A convenience function for generating a flat prior.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: A convenience function for generating a flat prior.
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt
R: A convenience function for generating a flat prior.
FlatR Documentation
A convenience function for generating
Package: WA
Type: Package
Title: While-Alive Loss Rate for Recurrent Event in the Presence of
Package: flatness
Type: Package
Title: Indices and Tests for Assessing the Flatness of (Rank)
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
R: Flat map
flat-mapR Documentation
Flat map
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