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